arxiv_id stringlengths 9 12 | paper stringlengths 2.65k 90.8k | targets listlengths 4 4 | targets_idx listlengths 4 4 | cite_corpus_id_map stringlengths 108 31.6k |
|---|---|---|---|---|
1801.06402-0 | <|paper_start|> Title: RAQ: Relationship-Aware Graph Querying in Large Networks
Abstract: RAQ: Relationship-Aware Graph Querying in Large Networks: The phenomenal growth of graph data from a wide variety of real-world applications has rendered graph querying to be a problem of paramount importance. Traditional techniqu... | [
"<|reference_start|> Facebook graph search: Το χαρακτηριστικό του Facebook Graph Search, eίναι πeρίπου όπως τη μηχανή αναζήτησης της Google, ... <|reference_end|>",
"<|reference_start|> Neighborhood Based Fast Graph Search in Large Networks: Complex social and information network search becomes important with a v... | [
5,
14,
15,
39
] | {"<|cite_1|>": "ss-1379308", "<|cite_2|>": "ss-1968179", "<|cite_3|>": "arxiv-32170", "<|cite_4|>": "ss-733437", "<|cite_5|>": "ss-1048758", "<|cite_6|>": "ss-1500092", "<|cite_7|>": "ss-1500093", "<|cite_8|>": "ss-1422063", "<|multi_cite_9_1|>": "ss-1363771", "<|multi_cite_9_2|>": "ss-1657957", "<|multi_cite_9_3|>": "... |
2303.14474-0 | <|paper_start|> Title: 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Abstract: 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition: Many skeletal action recognition models use GCNs to represent the human body by 3D body joints connected body parts. GCNs aggregate ... | [
"<|reference_start|> Uncertainty-DTW for Time Series and Sequences: Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition. The transport... | [
9,
38,
49,
59
] | {"<|multi_cite_1_1|>": "ss-1244037", "<|multi_cite_1_2|>": "arxiv-211746", "<|multi_cite_1_3|>": "arxiv-211214", "<|multi_cite_1_4|>": "ss-1280936", "<|multi_cite_1_5|>": "arxiv-312452", "<|multi_cite_1_6|>": "arxiv-373137", "<|multi_cite_1_7|>": "arxiv-243223", "<|multi_cite_1_8|>": "ss-915049", "<|multi_cite_1_9|>": ... |
2207.01769 | <|paper_start|> Title: SESS: Saliency Enhancing with Scaling and Sliding
Abstract: SESS: Saliency Enhancing with Scaling and Sliding: High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techniques h... | [
"<|reference_start|> Top-down Neural Attention by Excitation Backprop: We aim to model the top-down attention of a Convolutional Neural Network (CNN) classifier for generating task-specific attention maps. Inspired by a top-down human visual attention model, we propose a new backpropagation scheme, called Excitatio... | [
14,
25,
29,
45
] | {"<|cite_1|>": "arxiv-89003", "<|cite_2|>": "arxiv-70637", "<|cite_3|>": "arxiv-226918", "<|cite_4|>": "arxiv-126604", "<|cite_5|>": "ss-680203", "<|cite_6|>": "arxiv-163107", "<|multi_cite_7_1|>": "arxiv-317411", "<|multi_cite_7_2|>": "arxiv-258501", "<|multi_cite_8_1|>": "ss-788111", "<|multi_cite_8_2|>": "arxiv-2173... |
2002.04006 | <|paper_start|> Title: New superconvergent structures developed from the finite volume element method in 1D
Abstract: New superconvergent structures developed from the finite volume element method in 1D: New superconvergent structures are introduced by the finite volume element method (FVEM), which allow us to choose t... | [
"<|reference_start|> On the Finite Volume Element Method for General Self-Adjoint Elliptic Problems: The finite volume element method (FVE) is a discretization technique for partial differential equations. This paper develops discretization energy error estimates for general self-adjoint elliptic boundary value pro... | [
19,
22,
33,
48
] | {"<|multi_cite_1_1|>": "ss-1484983", "<|multi_cite_1_2|>": "ss-976621", "<|multi_cite_1_3|>": "ss-1255265", "<|multi_cite_1_4|>": "ss-1814640", "<|multi_cite_1_5|>": "ss-1484998", "<|multi_cite_1_6|>": "ss-1476893", "<|multi_cite_1_7|>": "ss-1255268", "<|multi_cite_1_8|>": "ss-2054925", "<|multi_cite_1_9|>": "ss-181464... |
2405.09551 | <|paper_start|> Title: Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach
Abstract: Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach: Emotion classification through EEG signals plays a significant role in psychology, neuroscience, and human... | [
"<|reference_start|> Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on: <|reference_end|>",
"<|reference_start|> Towards Facial Expression Robustness in Multi-scale Wild Environments: <|reference_end|>",
"<|reference_start|> Feature Extraction and Selection for Emotion Re... | [
3,
4,
6,
7
] | {"<|cite_1|>": "ss-1771200", "<|multi_cite_2_1|>": "ss-1166028", "<|multi_cite_2_2|>": "ss-1166029", "<|cite_3|>": "ss-700279", "<|cite_4|>": "ss-1166030", "<|cite_5|>": "ss-1166031", "<|cite_6|>": "ss-1166032", "<|cite_7|>": "ss-1166033", "<|cite_8|>": "ss-1861486"} |
1710.00073 | <|paper_start|> Title: CARMA: Contention-aware Auction-based Resource Management in Architecture
Abstract: CARMA: Contention-aware Auction-based Resource Management in Architecture: As the number of resources on chip multiprocessors (CMPs) increases, the complexity of how to best allocate these resources increases dras... | [
"<|reference_start|> evaluating cloud workload characteristics: <|reference_end|>",
"<|reference_start|> Gaining Insights into Multicore Cache Partitioning: Bridging the Gap\nbetween Simulation and Real Systems: Cache partitioning and sharing is critical to the effective utilization of multicore processors. Howe... | [
10,
14,
40,
45
] | {"<|multi_cite_1_1|>": "ss-2020668", "<|multi_cite_1_2|>": "ss-1423099", "<|multi_cite_1_3|>": "ss-906345", "<|multi_cite_1_4|>": "ss-2331003", "<|multi_cite_1_5|>": "ss-2405578", "<|multi_cite_1_6|>": "ss-2405579", "<|multi_cite_1_7|>": "ss-2405580", "<|multi_cite_1_8|>": "arxiv-102110", "<|multi_cite_1_9|>": "ss-2405... |
2010.11703-1 | <|cite_start|> (Reference: Detecting the Expectancy of a Place Using Nearby Context for Appearance-Based Mapping: In recent years, place recognition techniques have been extensively studied in the domain of robotic mapping, referred to as appearance-based mapping. Nonetheless, the majority of these methods focus the c... | [
"<|reference_start|> Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition: We propose an end-to-end place recognition model based on a novel deep neural network. First, we propose to exploit the spatial pyramid structure of the images to enhance the vector of locally aggregated descript... | [
4,
6,
10,
11
] | {"<|multi_cite_13_1|>": "ss-1270922", "<|multi_cite_13_2|>": "ss-1256616", "<|cite_14|>": "ss-997999", "<|cite_15|>": "ss-1279151", "<|multi_cite_16_1|>": "ss-1162551", "<|multi_cite_16_2|>": "ss-1326238", "<|multi_cite_16_3|>": "ss-1378920", "<|multi_cite_16_4|>": "ss-1962540", "<|multi_cite_17_1|>": "ss-2334805", "<|... |
2201.06853-0 | <|paper_start|> Title: VAR-DRAM: Variation-Aware Framework for Efficient Dynamic Random Access Memory Design
Abstract: VAR-DRAM: Variation-Aware Framework for Efficient Dynamic Random Access Memory Design: Dynamic Random Access Memory (DRAM) is the de-facto choice for main memory devices due to its cost-effectiveness. ... | [
"<|reference_start|> {Process Variation-Aware Nonuniform Cache Management in a 3D Die-Stacked Multicore Processor: Process variations in integrated circuits have significant impact on their performance, leakage, and stability. This is particularly evident in large, regular, and dense structures such as DRAMs. D... ... | [
3,
7,
25,
44
] | {"<|multi_cite_1_3|>": "ss-1276459", "<|multi_cite_2_2|>": "ss-1831330", "<|multi_cite_4_1|>": "ss-2418682", "<|multi_cite_4_2|>": "ss-2418683", "<|multi_cite_5_2|>": "ss-2418684", "<|multi_cite_6_1|>": "ss-2418684", "<|multi_cite_6_2|>": "ss-1464896", "<|multi_cite_7_1|>": "ss-2418684", "<|multi_cite_7_3|>": "ss-18313... |
2212.02085 | <|paper_start|> Title: RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps
Abstract: RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps: In this paper, we present a novel method for integrating 3D LiDAR depth measurements into the existing ORB-SLAM3 by building upon the RGB-D ... | [
"<|reference_start|> Simultaneous localization and mapping (SLAM): part II: This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained... | [
0,
1,
2,
3
] | {"<|multi_cite_1_1|>": "ss-746084", "<|multi_cite_1_2|>": "ss-1090379", "<|cite_2|>": "ss-773112", "<|cite_3|>": "ss-735936"} |
2109.01494-0 | <|paper_start|> Title: Computing Graph Descriptors on Edge Streams
Abstract: Computing Graph Descriptors on Edge Streams: Feature extraction is an essential task in graph analytics. These feature vectors, called graph descriptors, are used in downstream vector-space-based graph analysis models. This idea has proved fru... | [
"<|reference_start|> Efficient graphlet kernels for large graph comparison: State-of-the-art graph kernels do not scale to large graphs with hundreds of nodes and thousands of edges. In this article we propose to compare graphs by counting graphlets, i.e., subgraphs with k nodes where k ∈ {3, 4, 5}. Exhaustive enum... | [
25,
29,
36,
50
] | {"<|cite_1|>": "ss-1597250", "<|cite_2|>": "ss-1338052", "<|cite_3|>": "ss-836674", "<|cite_4|>": "ss-1536657", "<|multi_cite_5_1|>": "arxiv-175090", "<|multi_cite_5_2|>": "arxiv-174692", "<|multi_cite_5_3|>": "ss-870990", "<|multi_cite_6_1|>": "arxiv-115618", "<|multi_cite_6_2|>": "ss-1528671", "<|cite_7|>": "ss-11020... |
2207.14663 | <|paper_start|> Title: Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Abstract: Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling: Personalised 3D vascular models are valuable for diagnosis, prognosis and treatment planning in patients with cardiova... | [
"<|reference_start|> Patient-specific computational flow modelling for assessing hemodynamic changes following fenestrated endovascular aneurysm repair: <|reference_end|>",
"<|reference_start|> CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation: In this work, we des... | [
1,
4,
15,
16
] | {"<|cite_1|>": "ss-782543", "<|cite_2|>": "ss-782544", "<|multi_cite_3_1|>": "ss-2425215", "<|multi_cite_3_2|>": "ss-782545", "<|multi_cite_3_3|>": "ss-719744", "<|cite_4|>": "ss-782546", "<|cite_5|>": "ss-782547", "<|multi_cite_6_1|>": "arxiv-233262", "<|multi_cite_6_2|>": "ss-682086", "<|cite_7|>": "ss-782548", "<|ci... |
2311.05106 | <|paper_start|> Title: A differentiable brain simulator bridging brain simulation and brain-inspired computing
Abstract: A differentiable brain simulator bridging brain simulation and brain-inspired computing: Brain simulation builds dynamical models to mimic the structure and functions of the brain, while brain-inspir... | [
"<|reference_start|> Neuronal dynamics: From single neurons to networks and\nmodels of cognition: What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and ... | [
0,
11,
23,
28
] | {"<|cite_1|>": "ss-1114179", "<|cite_2|>": "ss-1366997", "<|cite_3|>": "ss-847037", "<|cite_4|>": "ss-1359215", "<|multi_cite_5_1|>": "ss-817594", "<|multi_cite_5_2|>": "ss-1302493", "<|cite_6|>": "ss-796891", "<|cite_7|>": "arxiv-237639", "<|cite_8|>": "arxiv-98825", "<|cite_9|>": "arxiv-369664", "<|cite_10|>": "ss-89... |
2405.18915 | <|paper_start|> Title: Towards Faithful Chain-of-Thought: Large Language Models are Bridging Reasoners
Abstract: Towards Faithful Chain-of-Thought: Large Language Models are Bridging Reasoners: Large language models (LLMs) suffer from serious unfaithful chain-of-thought (CoT) issues. Previous work attempts to measure a... | [
"<|reference_start|> {{GPT-4: Большие языковые модели (LLM) продемонстрировали замечательные возможности в понимании и генерации естественного языка в различных областях, включая медицину. В статье представлена оценка GPT-4 на основе двух точек зрения на проблему применения этой языковой модели: разработчиков из Op... | [
2,
8,
17,
19
] | {"<|multi_cite_2_1|>": "arxiv-524224", "<|multi_cite_2_2|>": "arxiv-547654", "<|multi_cite_2_3|>": "ss-1343995", "<|multi_cite_1_1|>": "arxiv-395344", "<|multi_cite_1_2|>": "arxiv-407230", "<|multi_cite_1_3|>": "arxiv-421182", "<|cite_3|>": "ss-1352568", "<|multi_cite_4_1|>": "arxiv-502890", "<|multi_cite_4_3|>": "ss-1... |
1802.05662 | <|paper_start|> Title: List Heaps
Abstract: List Heaps: This paper presents a simple extension of the binary heap, the List Heap. We use List Heaps to demonstrate the idea of adaptive heaps: heaps whose performance is a function of both the size of the problem instance and the disorder of the problem instance. We focus... | [
"<|reference_start|> A survey of adaptive sorting algorithms: The design and analysis of adaptive sorting algorithms has made important contributions to both theory and practice. The main contributions from the theoretical point of view are: the description of the complexity of a sorting algorithm not only in terms... | [
4,
5,
7,
9
] | {"<|cite_2|>": "ss-1976367", "<|cite_3|>": "ss-1838151", "<|cite_4|>": "ss-1700273", "<|cite_6|>": "arxiv-57584", "<|cite_7|>": "ss-998878", "<|cite_8|>": "ss-680832", "<|cite_9|>": "ss-998878", "<|cite_10|>": "ss-2552589", "<|cite_11|>": "ss-1287089", "<|cite_12|>": "ss-998878", "<|cite_13|>": "ss-2552589"} |
2306.04083 | <|paper_start|> Title: Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles
Abstract: Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles: This paper proposes a state-machine model for a multi-modal, multi-robot environmental sensing algorithm. This multi... | [
"<|reference_start|> A survey on coverage path planning for robotics: <|reference_end|>",
"<|reference_start|> A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking: Wildland fire fighting is a very dangerous job, and the lack of information of the fire front is one... | [
1,
3,
6,
7
] | {"<|cite_1|>": "ss-729372", "<|cite_2|>": "ss-932072", "<|cite_3|>": "ss-729373", "<|cite_4|>": "arxiv-121228", "<|cite_5|>": "ss-729374", "<|cite_6|>": "ss-1481449", "<|cite_7|>": "ss-1521917", "<|cite_8|>": "ss-1209433", "<|cite_9|>": "ss-2495068", "<|multi_cite_10_1|>": "ss-2458581", "<|multi_cite_10_2|>": "ss-72937... |
2303.13031-2 | <|cite_start|> (Reference: Hybrid Conditional Deep Inverse Tone Mapping: Emerging modern displays are capable to render ultra-high definition (UHD) media contents with high dynamic range (HDR) and wide color gamut (WCG). Although more and more native contents as such have been getting produced, the total amount is sti... | [
"<|reference_start|> Bidirectional translation between uhd-hdr and hd-sdr videos: With the popularization of ultra high definition (UHD) high dynamic range (HDR) displays, recent works focus on upgrading high definition (HD) standard dynamic range (SDR) videos to UHD-HDR versions, aiming to provides richer details ... | [
1,
6,
10,
14
] | {"<|multi_cite_3_1|>": "arxiv-201429", "<|multi_cite_3_2|>": "arxiv-222871", "<|multi_cite_3_3|>": "ss-936651", "<|multi_cite_3_4|>": "arxiv-361520", "<|multi_cite_3_5|>": "ss-2477881", "<|multi_cite_3_6|>": "ss-683633", "<|multi_cite_5_1|>": "arxiv-329923", "<|multi_cite_5_2|>": "arxiv-415248", "<|multi_cite_5_3|>": "... |
2105.06575 | <|paper_start|> Title: Merit and Blame Assignment with Kind 2
Abstract: Merit and Blame Assignment with Kind 2: We introduce two new major features of the open-source model checker Kind 2 which provide traceability information between specification and design elements such as assumptions, guarantees, or other behaviora... | [
"<|reference_start|> Software Engineering and Formal Methods : 14th International Conference, SEFM 2016, Held as Part of STAF 2016, Vienna, Austria, July 4-8, 2016, Proceedings: This book constitutes the proceedings of the 14th International Conference on Software Engineering and Formal Methods, SEFM 2016, held as ... | [
1,
4,
10,
13
] | {"<|cite_2|>": "ss-1409212", "<|cite_3|>": "ss-1409213", "<|cite_4|>": "ss-1409214", "<|cite_5|>": "ss-1409215", "<|cite_6|>": "ss-1409216", "<|cite_7|>": "ss-925771", "<|multi_cite_8_1|>": "ss-1409217", "<|multi_cite_8_2|>": "ss-1409218", "<|cite_9|>": "ss-1409219", "<|multi_cite_10_1|>": "ss-677491", "<|cite_12|>": "... |
2404.19250 | <|paper_start|> Title: Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
Abstract: Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair: In the image classification task, deep neura... | [
"<|reference_start|> Going Deeper with Convolutions: We propose a deep convolutional neural network architecture codenamed \"Inception\", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC 2014). The main ... | [
0,
1,
5,
7
] | {"<|multi_cite_1_1|>": "arxiv-66180", "<|multi_cite_1_2|>": "arxiv-88870", "<|multi_cite_1_3|>": "arxiv-65675", "<|multi_cite_1_4|>": "arxiv-98503", "<|cite_2|>": "ss-1117031", "<|multi_cite_3_1|>": "arxiv-185730", "<|multi_cite_3_2|>": "arxiv-195394", "<|multi_cite_3_3|>": "arxiv-227516", "<|multi_cite_3_4|>": "arxiv-... |
1703.00206 | <|paper_start|> Title: Scaling Agile Development in Mechatronic Organizations - A Comparative Case Study
Abstract: Scaling Agile Development in Mechatronic Organizations - A Comparative Case Study: Agile software development principles enable companies to successfully and quickly deliver software by meeting their custo... | [
"<|reference_start|> Usage and perceptions of Scrum and and large-scale scrum (LeSS) in academic settings: <|reference_end|>",
"<|reference_start|> Issues in the Adoption of the Scaled Agile Framework: Agile methods were originally introduced for small sized, colocated teams. Their successful products immediatel... | [
0,
1,
2,
3
] | {"<|multi_cite_2_2|>": "ss-1954405", "<|multi_cite_2_3|>": "ss-1954406", "<|multi_cite_2_4|>": "ss-1954407", "<|cite_3|>": "ss-2024139"} |
2303.04361 | <|paper_start|> Title: Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization
Abstract: Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization: In this work, we develop a prompting approach for incremental summarization of task videos. We develop a sample-efficient few-... | [
"<|reference_start|> Learning Joint Representations of Videos and Sentences with Web Image Search: Our objective is video retrieval based on natural language queries. In addition, we consider the analogous problem of retrieving sentences or generating descriptions given an input video. Recent work has addressed the... | [
3,
4,
6,
8
] | {"<|multi_cite_1_1|>": "ss-1860209", "<|multi_cite_1_2|>": "arxiv-207329", "<|multi_cite_1_3|>": "ss-989613", "<|multi_cite_2_1|>": "arxiv-103568", "<|multi_cite_2_2|>": "ss-2144361", "<|cite_3|>": "ss-1014916", "<|cite_4|>": "ss-931446", "<|multi_cite_5_1|>": "arxiv-323919", "<|multi_cite_5_2|>": "arxiv-416418", "<|ci... |
2203.12900 | <|paper_start|> Title: Two-timescale Resource Allocation for Automated Networks in IIoT
Abstract: Two-timescale Resource Allocation for Automated Networks in IIoT: The rapid technological advances of cellular technologies will revolutionize network automation in industrial internet of things (IIoT). In this paper, we i... | [
"<|reference_start|> Power allocation for an energy harvesting transmitter with hybrid energy sources: In this work, we consider a point-to-point communication link where the transmitter has a hybrid supply of energy. Specifically, the hybrid energy is supplied by a constant energy source and an energy harvester, w... | [
5,
9,
15,
19
] | {"<|cite_1|>": "ss-1171305", "<|cite_2|>": "ss-1269433", "<|cite_3|>": "ss-763054", "<|cite_4|>": "arxiv-40580", "<|multi_cite_5_1|>": "ss-1658719", "<|multi_cite_5_2|>": "ss-1081061", "<|cite_6|>": "ss-840020", "<|cite_7|>": "ss-1658720", "<|multi_cite_8_1|>": "arxiv-20330", "<|multi_cite_8_2|>": "arxiv-90378", "<|mul... |
2009.06858 | <|paper_start|> Title: Soft policy optimization using dual-track advantage estimator
Abstract: Soft policy optimization using dual-track advantage estimator: In reinforcement learning (RL), we always expect the agent to explore as many states as possible in the initial stage of training and exploit the explored informa... | [
"<|reference_start|> Solving Rubik's Cube with a Robot Hand: We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. This is made possible by two key components: a novel algorithm, which we call automatic domain randomization (AD... | [
0,
2,
3,
7
] | {"<|cite_1|>": "arxiv-229065", "<|cite_2|>": "arxiv-206825", "<|cite_3|>": "arxiv-235062", "<|cite_4|>": "arxiv-73321", "<|cite_5|>": "arxiv-129813", "<|cite_6|>": "arxiv-129813", "<|cite_7|>": "arxiv-132151", "<|multi_cite_8_1|>": "ss-2152328", "<|multi_cite_8_2|>": "arxiv-182112", "<|multi_cite_8_3|>": "ss-2152329", ... |
2407.15913 | <|paper_start|> Title: Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models
Abstract: Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models: The conventional modus operandi for adapting pre-trained vis... | [
"<|reference_start|> Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning: Benefiting from prompt tuning, recent years have witnessed the promising performance of pre-trained vision-language models, e.g., CLIP, on versatile downstream tasks. In this paper, we focus on a particular setting... | [
13,
15,
25,
36
] | {"<|cite_1|>": "arxiv-414701", "<|multi_cite_2_1|>": "arxiv-400463", "<|multi_cite_2_2|>": "arxiv-364803", "<|multi_cite_3_1|>": "arxiv-364496", "<|multi_cite_3_2|>": "arxiv-404771", "<|multi_cite_3_3|>": "arxiv-573233", "<|cite_4|>": "arxiv-407638", "<|multi_cite_5_1|>": "arxiv-451673", "<|multi_cite_5_2|>": "arxiv-52... |
2111.07774-0 | <|paper_start|> Title: D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
Abstract: D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos: Despite receiving significant attention from the research community, the task of segmenting and tracking objects in monocular videos still... | [
"<|reference_start|> Anchor Diffusion for Unsupervised Video Object Segmentation: Unsupervised video object segmentation has often been tackled by methods based on recurrent neural networks and optical flow. Despite their complexity, these kinds of approaches tend to favour short-term temporal dependencies and are ... | [
7,
20,
54,
55
] | {"<|multi_cite_1_1|>": "arxiv-167006", "<|multi_cite_1_2|>": "ss-1087960", "<|multi_cite_1_3|>": "arxiv-238611", "<|multi_cite_2_1|>": "arxiv-94816", "<|multi_cite_2_2|>": "arxiv-119553", "<|multi_cite_3_1|>": "arxiv-167006", "<|multi_cite_3_2|>": "ss-1087960", "<|multi_cite_3_3|>": "arxiv-230495", "<|multi_cite_3_4|>"... |
2408.11451 | <|paper_start|> Title: Bidirectional Gated Mamba for Sequential Recommendation
Abstract: Bidirectional Gated Mamba for Sequential Recommendation: In various domains, Sequential Recommender Systems (SRS) have become essential due to their superior capability to discern intricate user preferences. Typically, SRS utilize ... | [
"<|reference_start|> Sequential and Diverse Recommendation with Long Tail.: Sequential recommendation is a task that learns a temporal dynamic of a user behavior in sequential data and predicts items that a user would like afterward. However, diversity has been rarely emphasized in the context of sequential recomme... | [
18,
31,
40,
41
] | {"<|cite_1|>": "ss-953223", "<|cite_2|>": "ss-2282379", "<|cite_3|>": "arxiv-202892", "<|cite_4|>": "ss-792359", "<|multi_cite_5_1|>": "arxiv-126595", "<|multi_cite_5_2|>": "arxiv-445432", "<|cite_6|>": "arxiv-445432", "<|cite_7|>": "ss-1291865", "<|cite_8|>": "arxiv-415255", "<|cite_9|>": "ss-2451530", "<|cite_10|>": ... |
2106.00840 | <|paper_start|> Title: Comparing Test Sets with Item Response Theory
Abstract: Comparing Test Sets with Item Response Theory: Recent years have seen numerous NLP datasets introduced to evaluate the performance of fine-tuned models on natural language understanding tasks. Recent results from large pretrained models, tho... | [
"<|reference_start|> {{SWAG: The purpose of this study is to delve into the identity of the swag style which has diversified into various forms by exploring the phenomenon, formative characteristics and the internal values of the swag style in modern fashioin. This study discusses the concept and the socio-cultural... | [
3,
11,
12,
18
] | {"<|multi_cite_1_1|>": "ss-1512504", "<|multi_cite_1_2|>": "arxiv-202382", "<|multi_cite_1_3|>": "ss-946675", "<|multi_cite_1_4|>": "ss-1518595", "<|cite_2|>": "ss-832115", "<|cite_3|>": "arxiv-269801", "<|multi_cite_4_1|>": "arxiv-98867", "<|multi_cite_4_2|>": "arxiv-116667", "<|cite_6|>": "ss-726744", "<|cite_7|>": "... |
2301.04604-1 | <|cite_start|> (Reference: Low-Rank Subspaces in GANs: The latent space of a Generative Adversarial Network (GAN) has been shown to encode rich semantics within some subspaces. To identify these subspaces, researchers typically analyze the statistical information from a collection of synthesized data, and the identifi... | [
"<|reference_start|> Low-Rank Subspaces in GANs: The latent space of a Generative Adversarial Network (GAN) has been shown to encode rich semantics within some subspaces. To identify these subspaces, researchers typically analyze the statistical information from a collection of synthesized data, and the identified ... | [
0,
6,
12,
22
] | {"<|cite_1|>": "ss-805363", "<|multi_cite_2_1|>": "arxiv-110679", "<|multi_cite_2_2|>": "arxiv-195738", "<|multi_cite_2_3|>": "arxiv-310773", "<|multi_cite_2_4|>": "arxiv-323257", "<|multi_cite_2_5|>": "ss-921362", "<|multi_cite_3_1|>": "arxiv-235477", "<|multi_cite_3_2|>": "arxiv-278152", "<|multi_cite_3_4|>": "ss-121... |
2103.06993 | <|paper_start|> Title: Robofleet: Open Source Communication and Management for Fleets of Autonomous Robots
Abstract: Robofleet: Open Source Communication and Management for Fleets of Autonomous Robots: Long-term deployment of a fleet of mobile robots requires reliable and secure two-way communication channels between i... | [
"<|reference_start|> The 1,000-km challenge: Insights and quantitative and qualitative results: On 18 November 2014, a team of four autonomous CoBot robots reached 1,000-km of overall autonomous navigation, as a result of a 1,000-km challenge that the authors had set three years earlier. The authors are frequently ... | [
0,
1,
4,
9
] | {"<|cite_1|>": "ss-955560", "<|cite_2|>": "arxiv-96003", "<|cite_3|>": "ss-1279541", "<|cite_4|>": "ss-1279542", "<|cite_5|>": "ss-2330250", "<|cite_6|>": "ss-713375", "<|multi_cite_7_1|>": "ss-1279543", "<|multi_cite_7_2|>": "ss-1279544", "<|cite_9|>": "ss-1118146", "<|cite_10|>": "ss-1279541", "<|cite_11|>": "ss-1279... |
2203.00655 | <|paper_start|> Title: A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Abstract: A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors: Both in electronics and biology, physical implementa... | [
"<|reference_start|> Highly Efficient Test Architecture for Low-Power AI Accelerators: Low-power artificial intelligence (AI) accelerators are being developed to support the battery-operated edge devices at a minimum expense of classification error. However, the testing of such large AI accelerators with traditiona... | [
0,
4,
8,
9
] | {"<|cite_1|>": "ss-1663022", "<|multi_cite_2_1|>": "ss-891517", "<|multi_cite_2_2|>": "ss-1067174", "<|multi_cite_2_3|>": "ss-744446", "<|cite_3|>": "arxiv-312658", "<|multi_cite_4_1|>": "ss-729275", "<|multi_cite_4_2|>": "ss-678800", "<|multi_cite_4_3|>": "ss-1099019", "<|multi_cite_4_4|>": "ss-1660380", "<|cite_5|>":... |
2104.08541-1 | <|cite_start|> (Reference: YOLOv3: An Incremental Improvement: We present some updates to YOLO! We made a bunch of little design changes to make it better. We also trained this new network that's pretty swell. It's a little bigger than last time but more accurate. It's still fast though, don't worry. At 320x320 YOLOv3... | [
"<|reference_start|> Incorporating BERT into Neural Machine Translation: The recently proposed BERT has shown great power on a variety of natural language understanding tasks, such as text classification, reading comprehension, etc. However, how to effectively apply BERT to neural machine translation (NMT) lacks en... | [
13,
28,
29,
30
] | {"<|multi_cite_1_1|>": "arxiv-86728", "<|multi_cite_1_2|>": "arxiv-103126", "<|multi_cite_2_1|>": "ss-1301953", "<|multi_cite_2_2|>": "arxiv-77941", "<|multi_cite_3_1|>": "arxiv-87106", "<|multi_cite_3_2|>": "ss-1295339", "<|multi_cite_4_1|>": "arxiv-86728", "<|multi_cite_4_2|>": "arxiv-103173", "<|multi_cite_4_3|>": "... |
2112.12296 | <|paper_start|> Title: Sub-Chain Beam for mmWave Devices: A Trade-off between Power Saving and Beam Correspondence
Abstract: Sub-Chain Beam for mmWave Devices: A Trade-off between Power Saving and Beam Correspondence: Beam correspondence, or downlink-uplink (DL-UL) beam reciprocity, refers to the assumption that the be... | [
"<|reference_start|> Spherical Coverage Characterization of 5G Millimeter Wave User Equipment With 3GPP Specifications: Millimeter-wave (mmWave) frequency bands are promising candidate spectrum for the fifth-generation (5G) mobile communication system, but it requires high directional antenna systems to be applied ... | [
3,
5,
6,
7
] | {"<|multi_cite_1_1|>": "ss-2168644", "<|multi_cite_1_2|>": "arxiv-186512", "<|multi_cite_1_3|>": "ss-1227766", "<|multi_cite_1_4|>": "ss-2168645", "<|cite_2|>": "ss-952746", "<|multi_cite_3_1|>": "ss-1563404", "<|multi_cite_3_2|>": "arxiv-86697", "<|multi_cite_4_1|>": "ss-2168646", "<|multi_cite_4_2|>": "ss-922872", "<... |
1307.1584 | <|paper_start|> Title: Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases
Abstract: Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases: Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community d... | [
"<|reference_start|> Quantitative signal detection using spontaneous ADR reporting: Quantitative methods are increasingly used to analyse spontaneous reports. We describe the core concepts behind the most common methods, the proportional reporting ratio (PRR), reporting odds ratio (ROR), information component (IC) ... | [
0,
4,
9,
11
] | {"<|cite_1|>": "ss-2536698", "<|cite_2|>": "ss-1691117", "<|cite_3|>": "ss-1691118", "<|cite_4|>": "ss-1690027", "<|cite_5|>": "ss-1691119", "<|cite_6|>": "ss-1958334", "<|cite_7|>": "ss-1691120", "<|cite_8|>": "ss-1691121", "<|cite_9|>": "ss-1691122", "<|cite_10|>": "ss-1691120", "<|cite_11|>": "ss-1691120", "<|cite_1... |
2006.08273 | <|paper_start|> Title: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter
Abstract: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter: The hacktivist group Anonymous is unusual in its public-facing nature. Unlike other cybercriminal groups, which rely on secrecy and privacy ... | [
"<|reference_start|> We Are Anonymous: Inside the Hacker World of LulzSec, Anonymous, and the Global Cyber Insurgency: A thrilling, exclusive expose of the hacker collectives Anonymous and LulzSec. WE ARE ANONYMOUS is the first full account of how a loosely assembled group of hackers scattered across the globe form... | [
10,
14,
20,
28
] | {"<|cite_1|>": "ss-906751", "<|cite_2|>": "ss-906751", "<|cite_3|>": "ss-906753", "<|cite_4|>": "ss-906751", "<|multi_cite_5_1|>": "ss-906749", "<|multi_cite_5_2|>": "ss-906753", "<|multi_cite_6_1|>": "ss-906751", "<|multi_cite_6_2|>": "ss-906753", "<|multi_cite_7_1|>": "ss-906753", "<|multi_cite_7_2|>": "ss-906749", "... |
2404.16456-0 | <|paper_start|> Title: Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
Abstract: Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities: Multimodal sentiment analysis (MSA) aims to understand human sentiment thr... | [
"<|reference_start|> Misa: Modality-invariant and-specific representations for multimodal sentiment analysis: Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos. The predominant approach, addressing this task, has been t... | [
11,
29,
31,
38
] | {"<|cite_1|>": "ss-1297477", "<|cite_2|>": "ss-855006", "<|multi_cite_3_1|>": "arxiv-337445", "<|multi_cite_3_2|>": "ss-1232722", "<|multi_cite_4_1|>": "arxiv-526314", "<|multi_cite_4_2|>": "arxiv-526312", "<|multi_cite_4_3|>": "ss-752494", "<|multi_cite_4_4|>": "ss-1600009", "<|multi_cite_4_5|>": "arxiv-391994", "<|mu... |
2409.13464-1 | <|cite_start|> (Reference: Reverse Attention-Based Residual Network for Salient Object Detection: Benefiting from the quick development of deep convolutional neural networks, especially fully convolutional neural networks (FCNs), remarkable progresses have been achieved on salient object detection recently. Neverthele... | [
"<|reference_start|> Pyramidal Attention for Saliency Detection: Salient object detection (SOD) extracts meaningful contents from an input image. RGB-based SOD methods lack the complementary depth clues; hence, providing limited performance for complex scenarios. Similarly, RGB-D models process RGB and depth inputs... | [
3,
9,
10,
13
] | {"<|multi_cite_1_1|>": "ss-2358108", "<|multi_cite_1_2|>": "ss-2303826", "<|multi_cite_1_3|>": "ss-2358109", "<|multi_cite_2_1|>": "ss-788457", "<|multi_cite_2_2|>": "ss-2358110", "<|multi_cite_2_3|>": "ss-871775", "<|multi_cite_2_4|>": "ss-2111868", "<|multi_cite_2_5|>": "ss-2358111", "<|multi_cite_2_6|>": "ss-2358112... |
2205.03777-1 | <|cite_start|> (Reference: Learning Spatial Attention for Face Super-Resolution: General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods tailored for face images have achieved improved performance... | [
"<|reference_start|> Global-local fusion network for face super-resolution: <|reference_end|>",
"<|reference_start|> Towards Real-World Blind Face Restoration with Generative Facial Prior: Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realist... | [
2,
23,
24,
35
] | {"<|multi_cite_1_1|>": "ss-2001034", "<|multi_cite_1_2|>": "ss-690310", "<|multi_cite_1_3|>": "ss-1275975", "<|multi_cite_2_1|>": "ss-2468621", "<|multi_cite_2_2|>": "ss-2052460", "<|multi_cite_2_3|>": "ss-1050422", "<|multi_cite_3_1|>": "ss-1254173", "<|multi_cite_3_2|>": "ss-1216410", "<|multi_cite_3_3|>": "ss-711186... |
2406.11086 | <|paper_start|> Title: A Bayesian Drift-Diffusion Model of Schachter-Singer's Two Factor Theory of Emotion
Abstract: A Bayesian Drift-Diffusion Model of Schachter-Singer's Two Factor Theory of Emotion: Bayesian inference has been used in the past to model visual perception (Kersten, Mamassian, & Yuille, 2004), accounti... | [
"<|reference_start|> Computational models of emotion inference in Theory of Mind: A review and roadmap: Abstract Research on social cognition has fruitfully applied computational modeling approaches to explain how observers understand and reason about others’ mental states. By contrast, there has been less work on ... | [
6,
14,
28,
30
] | {"<|cite_1|>": "ss-1125041", "<|multi_cite_2_1|>": "ss-1576990", "<|multi_cite_2_2|>": "ss-1183772", "<|cite_3|>": "ss-970463", "<|cite_4|>": "ss-1347366", "<|multi_cite_31_1|>": "ss-905226", "<|multi_cite_31_2|>": "ss-905225", "<|cite_5|>": "ss-1857002", "<|cite_6|>": "ss-801585", "<|cite_7|>": "ss-1857003", "<|cite_8... |
2011.12882 | <|paper_start|> Title: Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes
Abstract: Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes: Reed-Muller (RM) codes are one of the oldest families of codes. Recently, a recursive projection aggregation (RPA) decoder has been pr... | [
"<|reference_start|> Soft-decision decoding of Reed-Muller codes: recursive lists: Recursive list decoding is considered for Reed-Muller (RM) codes. The algorithm repeatedly relegates itself to the shorter RM codes by recalculating the posterior probabilities of their symbols. Intermediate decodings are only perfor... | [
4,
10,
18,
19
] | {"<|cite_1|>": "ss-677959", "<|cite_2|>": "ss-677960", "<|cite_3|>": "ss-909069", "<|multi_cite_4_1|>": "ss-1317156", "<|multi_cite_4_2|>": "ss-909067", "<|multi_cite_4_3|>": "ss-909067", "<|cite_5|>": "ss-1317157", "<|cite_6|>": "ss-2491407", "<|cite_7|>": "ss-1317157", "<|cite_8|>": "arxiv-4409", "<|cite_9|>": "arxiv... |
2408.14757 | <|paper_start|> Title: Learning effective pruning at initialization from iterative pruning
Abstract: Learning effective pruning at initialization from iterative pruning: Pruning at initialization (PaI) reduces training costs by removing weights before training, which becomes increasingly crucial with the growing networ... | [
"<|reference_start|> The State of Sparsity in Deep Neural Networks: We rigorously evaluate three state-of-the-art techniques for inducing sparsity in deep neural networks on two large-scale learning tasks: Transformer trained on WMT 2014 English-to-German, and ResNet-50 trained on ImageNet. Across thousands of expe... | [
3,
19,
32,
37
] | {"<|multi_cite_1_1|>": "ss-1117443", "<|multi_cite_1_2|>": "ss-1065219", "<|multi_cite_1_3|>": "arxiv-252302", "<|multi_cite_2_1|>": "arxiv-192853", "<|multi_cite_2_2|>": "arxiv-136506", "<|multi_cite_2_3|>": "ss-700765", "<|cite_3|>": "arxiv-268228", "<|cite_4|>": "arxiv-151068", "<|multi_cite_5_1|>": "arxiv-175116", ... |
2104.11033 | <|paper_start|> Title: Nonlinear Spatial Filtering in Multichannel Speech Enhancement
Abstract: Nonlinear Spatial Filtering in Multichannel Speech Enhancement: The majority of multichannel speech enhancement algorithms are two-step procedures that first apply a linear spatial filter, a so-called beamformer, and combine... | [
"<|reference_start|> Particle flow SMC-PHD filter for audio-visualmulti-speaker tracking. Proc. 13th International Conference on Latent Variable Analysis and Signal Separation(LVA/ICA 2017), Grenoble, France, February 21-23, 2017.: Sequential Monte Carlo probability hypothesis density (SMC- \nPHD) filtering has bee... | [
1,
8,
13,
19
] | {"<|multi_cite_1_1|>": "ss-2136231", "<|multi_cite_1_2|>": "ss-2136232", "<|multi_cite_2_1|>": "ss-1041148", "<|multi_cite_2_2|>": "ss-1351738", "<|multi_cite_2_3|>": "ss-2136233", "<|multi_cite_3_1|>": "ss-930669", "<|multi_cite_3_2|>": "ss-1252843", "<|multi_cite_3_3|>": "ss-2136234", "<|multi_cite_3_4|>": "ss-213357... |
2303.13220 | <|paper_start|> Title: Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Abstract: Parameter-Efficient Sparse Retrievers and Rerankers using Adapters: Parameter-Efficient transfer learning with Adapters have been studied in Natural Language Processing (NLP) as an alternative to full fine-tuning. Adapte... | [
"<|reference_start|> BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models: Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of-distribution (OOD) generalization capa... | [
8,
23,
30,
34
] | {"<|multi_cite_1_1|>": "arxiv-361577", "<|multi_cite_1_2|>": "ss-876268", "<|multi_cite_1_4|>": "arxiv-349236", "<|cite_2|>": "arxiv-377468", "<|cite_3|>": "arxiv-411073", "<|cite_4|>": "arxiv-418575", "<|cite_5|>": "arxiv-111232", "<|cite_6|>": "arxiv-335662", "<|cite_7|>": "ss-1355711", "<|cite_8|>": "arxiv-327334", ... |
2006.15098 | <|paper_start|> Title: The Ramifications of Making Deep Neural Networks Compact
Abstract: The Ramifications of Making Deep Neural Networks Compact: The recent trend in deep neural networks (DNNs) research is to make the networks more compact. The motivation behind designing compact DNNs is to improve energy efficiency ... | [
"<|reference_start|> Very Deep Convolutional Networks for Large-Scale Image Recognition: In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an arc... | [
1,
5,
13,
14
] | {"<|multi_cite_1_1|>": "ss-690198", "<|multi_cite_1_2|>": "arxiv-65675", "<|multi_cite_1_3|>": "arxiv-66180", "<|cite_2|>": "ss-690198", "<|multi_cite_3_1|>": "arxiv-65675", "<|multi_cite_3_2|>": "arxiv-94064", "<|multi_cite_4_1|>": "arxiv-110304", "<|multi_cite_4_2|>": "arxiv-88377", "<|multi_cite_4_3|>": "arxiv-92765... |
2403.11032 | <|paper_start|> Title: FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning
Abstract: FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning: Familial Hypercholesterolemia (FH) is a genetic disorder characterized by elevat... | [
"<|reference_start|> Faculty Opinions recommendation of Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society.: <|reference_end|>",
"<|reference_start|> Gl... | [
4,
5,
6,
26
] | {"<|cite_1|>": "ss-1592470", "<|cite_2|>": "ss-1592471", "<|cite_3|>": "ss-1592472", "<|multi_cite_5_1|>": "ss-1592473", "<|multi_cite_5_2|>": "ss-1592474", "<|multi_cite_6_1|>": "ss-1592475", "<|multi_cite_6_2|>": "ss-1592476", "<|multi_cite_6_3|>": "ss-1592477", "<|multi_cite_6_4|>": "ss-1592478", "<|cite_7|>": "arxi... |
2207.04345 | <|paper_start|> Title: Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus Images
Abstract: Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus Images: Diabet... | [
"<|reference_start|> Hierarchical retinal blood vessel segmentation based on feature and ensemble learning: <|reference_end|>",
"<|reference_start|> Retinal vessel segmentation using multi-scale textons derived from keypoints: <|reference_end|>",
"<|reference_start|> Obtaining optic disc center and pixel regi... | [
0,
1,
7,
11
] | {"<|cite_1|>": "ss-1963927", "<|cite_2|>": "ss-766763", "<|cite_3|>": "ss-1553549", "<|cite_4|>": "ss-2106281", "<|cite_5|>": "ss-766764", "<|cite_6|>": "ss-766765", "<|cite_7|>": "ss-766766", "<|cite_8|>": "ss-766767", "<|cite_9|>": "ss-766768", "<|cite_10|>": "ss-766769", "<|cite_11|>": "ss-766770", "<|cite_12|>": "s... |
2105.04760 | <|paper_start|> Title: Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
Abstract: Unpacking the Expressed Consequences of AI Research in Broader Impact Statements: The computer science research community and the broader public have become increasingly aware of negative consequences of al... | [
"<|reference_start|> Accountability in Algorithmic Decision Making: Every fiscal quarter automated writing algorithms churn out thousands of corporate earnings articles for the AP (Associated Press) based on little more than structured data. Companies such as Automated Insights, which produces the articles for AP, ... | [
10,
11,
21,
24
] | {"<|cite_13|>": "ss-1401738", "<|multi_cite_1_1|>": "ss-742121", "<|multi_cite_1_2|>": "ss-1603279", "<|cite_2|>": "ss-1401735", "<|multi_cite_3_1|>": "ss-785753", "<|multi_cite_3_2|>": "ss-1053157", "<|multi_cite_3_3|>": "ss-861759", "<|multi_cite_4_1|>": "arxiv-208207", "<|multi_cite_4_2|>": "arxiv-215931", "<|multi_... |
2106.12453 | <|paper_start|> Title: Extended formulations for matroid polytopes through randomized protocols
Abstract: Extended formulations for matroid polytopes through randomized protocols: Let $P$ be a polytope. The hitting number of $P$ is the smallest size of a hitting set of the facets of $P$, i.e., a subset of vertices of $... | [
"<|reference_start|> Smaller extended formulations for spanning tree polytopes in minor-closed classes and beyond: Let $G$ be a connected $n$-vertex graph in a proper minor-closed class $\\mathcal G$. We prove that the extension complexity of the spanning tree polytope of $G$ is $O(n^{3/2})$. This improves on the $... | [
9,
11,
12,
22
] | {"<|cite_1|>": "ss-2311547", "<|cite_2|>": "ss-704398", "<|multi_cite_3_1|>": "arxiv-25947", "<|multi_cite_3_2|>": "arxiv-52536", "<|cite_4|>": "ss-1006597", "<|cite_5|>": "ss-998981", "<|cite_6|>": "ss-771128", "<|multi_cite_7_1|>": "arxiv-115890", "<|multi_cite_7_2|>": "arxiv-96793", "<|multi_cite_7_3|>": "arxiv-3502... |
2012.11129 | <|paper_start|> Title: A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits
Abstract: A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits: The Arnold-Beltrami-Childress (ABC) ... | [
"<|reference_start|> Sur la topologie des écoulements stationnaires des fluides parfaits: <|reference_end|>",
"<|reference_start|> Sharp uniform in time error estimate on a stochastic structure-preserving Lagrangian method and computation of effective diffusivity in 3D chaotic flows: In this paper, we study the ... | [
5,
14,
24,
29
] | {"<|multi_cite_1_1|>": "ss-1825001", "<|multi_cite_1_2|>": "ss-860364", "<|multi_cite_1_3|>": "ss-1825001", "<|multi_cite_1_4|>": "ss-1065704", "<|multi_cite_1_5|>": "ss-1065705", "<|multi_cite_2_1|>": "ss-1065706", "<|multi_cite_2_2|>": "ss-1065707", "<|cite_3|>": "ss-1065708", "<|cite_4|>": "ss-1065709", "<|multi_cit... |
2406.17335-1 | <|cite_start|> (Reference: Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba: Recommender systems (RSs) have been the most important technology for increasing the business in Taobao, the largest online consumer-to-consumer (C2C) platform in China. The billion-scale data in Taobao creates three... | [
"<|reference_start|> On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation: Modern recommender systems operate in a fully server-based fashion. To cater to millions of users, the frequent model maintaining and the high-speed processing for concurrent user requests are required, which comes ... | [
7,
26,
35,
36
] | {"<|cite_1|>": "arxiv-406719", "<|cite_2|>": "ss-1254435", "<|cite_3|>": "arxiv-562019", "<|cite_4|>": "arxiv-246668", "<|cite_5|>": "ss-1254435", "<|cite_7|>": "arxiv-333660", "<|multi_cite_8_1|>": "arxiv-495527", "<|multi_cite_8_2|>": "ss-961206", "<|multi_cite_9_1|>": "arxiv-406719", "<|multi_cite_9_2|>": "arxiv-476... |
2003.06739 | <|paper_start|> Title: Asymptotic Network Independence and Step-Size for A Distributed Subgradient Method
Abstract: Asymptotic Network Independence and Step-Size for A Distributed Subgradient Method: We consider whether distributed subgradient methods can achieve a linear speedup over a centralized subgradient method. ... | [
"<|reference_start|> Subgradient Methods: 3 Convergence proof 4 3.1 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2 Some basic inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.3 A bound on the suboptimality bound . . . . . . . . . . . . . . . . .... | [
5,
6,
11,
14
] | {"<|cite_1|>": "arxiv-159894", "<|cite_2|>": "ss-1262497", "<|cite_3|>": "ss-1538025", "<|cite_4|>": "ss-1262497", "<|cite_5|>": "arxiv-135671", "<|cite_6|>": "ss-1029383", "<|cite_7|>": "ss-1029383", "<|cite_8|>": "ss-1262497", "<|cite_9|>": "ss-1262497", "<|cite_10|>": "ss-1538025", "<|cite_11|>": "arxiv-135671", "<|... |
2212.14670 | <|paper_start|> Title: Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
Abstract: Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization: Designing an intelligent volume-weighted average price (VWAP) strategy is a critical concern for brokers, since traditional rule-based strateg... | [
"<|reference_start|> Optimal control of execution costs: <|reference_end|>",
"<|reference_start|> Reinforcement learning for optimized trade execution: We present the first large-scale empirical application of reinforcement learning to the important problem of optimized trade execution in modern financial market... | [
16,
24,
35,
50
] | {"<|cite_1|>": "ss-1557847", "<|cite_2|>": "ss-762552", "<|cite_3|>": "ss-1557848", "<|cite_4|>": "ss-1557849", "<|cite_5|>": "ss-762551", "<|cite_6|>": "ss-1557850", "<|cite_7|>": "ss-762552", "<|cite_8|>": "ss-1290686", "<|cite_9|>": "ss-762552", "<|cite_10|>": "arxiv-184730", "<|cite_11|>": "ss-1557851", "<|cite_12|... |
2011.02044-0 | <|paper_start|> Title: Circuit lower bounds for low-energy states of quantum code Hamiltonians
Abstract: Circuit lower bounds for low-energy states of quantum code Hamiltonians: The No Low-energy Trivial States (NLTS) conjecture of Freedman and Hastings, 2014 -- which posits the existence of a local Hamiltonian with a ... | [
"<|reference_start|> {Approximate Low-Weight Check Codes and Circuit Lower Bounds for Noisy Ground States: The No Low-Energy Trivial States (NLTS) conjecture of Freedman and Hastings (Quantum Information and Computation 2014), which asserts the existence of local Hamiltonians whose low energy states cannot be gener... | [
3,
14,
18,
37
] | {"<|multi_cite_1_1|>": "ss-1369908", "<|multi_cite_1_2|>": "ss-839944", "<|multi_cite_1_3|>": "ss-2466726", "<|multi_cite_1_4|>": "ss-1477186", "<|multi_cite_1_5|>": "ss-2186256", "<|multi_cite_1_6|>": "ss-1309478", "<|multi_cite_2_1|>": "ss-1385093", "<|multi_cite_2_2|>": "ss-1385094", "<|multi_cite_2_3|>": "ss-106813... |
2310.02528 | <|paper_start|> Title: On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study
Abstract: On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study: Visual Question Answering (VQA) is a challenging task that requires cross-modal understandin... | [
"<|reference_start|> You Only Learn One Representation: Unified Network for Multiple Tasks: People ``understand'' the world via vision, hearing, tactile, and also the past experience. Human experience can be learned through normal learning (we call it explicit knowledge), or subconsciously (we call it implicit know... | [
1,
2,
3,
5
] | {"<|cite_1|>": "arxiv-77148", "<|cite_2|>": "arxiv-339909", "<|cite_3|>": "arxiv-216284", "<|cite_4|>": "arxiv-60292", "<|cite_5|>": "arxiv-77148", "<|cite_6|>": "arxiv-111676", "<|cite_7|>": "arxiv-65675", "<|cite_8|>": "arxiv-88870", "<|multi_cite_9_1|>": "arxiv-121985", "<|multi_cite_9_2|>": "arxiv-76548", "<|multi_... |
1201.3194 | <|paper_start|> Title: A Perfect Model for Bounded Verification
Abstract: A Perfect Model for Bounded Verification: A class of languages C is perfect if it is closed under Boolean operations and the emptiness problem is decidable. Perfect language classes are the basis for the automata-theoretic approach to model check... | [
"<|reference_start|> A Robust Class of Context-Sensitive Languages: We define a new class of languages defined by multi-stack automata that forms a robust subclass of context-sensitive languages, with decidable emptiness and closure under boolean operations. This class, called multi-stack visibly pushdown languages... | [
4,
9,
10,
19
] | {"<|cite_1|>": "ss-916560", "<|cite_2|>": "ss-1277289", "<|multi_cite_3_1|>": "ss-1096322", "<|multi_cite_3_2|>": "ss-1277289", "<|cite_4|>": "ss-678501", "<|multi_cite_5_1|>": "ss-695487", "<|multi_cite_5_2|>": "ss-1155769", "<|multi_cite_6_1|>": "ss-678500", "<|multi_cite_6_2|>": "ss-1011059", "<|multi_cite_6_3|>": "... |
2401.17904-1 | <|cite_start|> (Reference: Page Segmentation using a Convolutional Neural Network with Trainable
Co-Occurrence Features: In document analysis, page segmentation is a fundamental task that divides a document image into semantic regions. In addition to local features, such as pixel-wise information, co-occurrence featur... | [
"<|reference_start|> LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking: Self-supervised pre-training techniques have achieved remarkable progress in Document AI. Most multimodal pre-trained models use a masked language modeling objective to learn bidirectional representations on the text ... | [
1,
3,
13,
14
] | {"<|multi_cite_1_1|>": "arxiv-306279", "<|multi_cite_1_2|>": "arxiv-490174", "<|multi_cite_1_3|>": "arxiv-564927", "<|cite_2|>": "arxiv-350100", "<|multi_cite_3_1|>": "arxiv-409019", "<|multi_cite_3_2|>": "arxiv-553084", "<|multi_cite_4_1|>": "ss-1532640", "<|multi_cite_4_2|>": "arxiv-306279", "<|multi_cite_4_3|>": "ss... |
2406.05568 | <|paper_start|> Title: SAMM: Sharded Automated Market Maker
Abstract: SAMM: Sharded Automated Market Maker: Automated Market Makers (AMMs) are a cornerstone of decentralized finance. They are smart contracts (stateful programs) running on blockchains. They enable virtual token exchange: Traders swap tokens with the AMM... | [
"<|reference_start|> Adding Concurrency to Smart Contracts: Modern cryptocurrency systems, such as Ethereum, permit complex financial transactions through scripts called smart contracts. These smart contracts are executed many, many times, always without real concurrency. First, all smart contracts are serially exe... | [
10,
18,
20,
48
] | {"<|multi_cite_1_1|>": "ss-1353654", "<|multi_cite_1_2|>": "arxiv-467857", "<|multi_cite_2_2|>": "ss-1248685", "<|multi_cite_2_3|>": "ss-727453", "<|multi_cite_4_1|>": "ss-722251", "<|multi_cite_4_2|>": "arxiv-392715", "<|multi_cite_4_3|>": "arxiv-343100", "<|multi_cite_4_4|>": "arxiv-533080", "<|multi_cite_4_5|>": "ss... |
2407.13477 | <|paper_start|> Title: The Construction of a Soft Gripper Based on Magnetorheological Elastomer with Permanent Magnet
Abstract: The Construction of a Soft Gripper Based on Magnetorheological Elastomer with Permanent Magnet: Recently, magnetorheological elastomers have become an interesting smart material with many new ... | [
"<|reference_start|> Design, fabrication and control of soft robots: <|reference_end|>",
"<|reference_start|> IEEE/RSJ International Conference on Intelligent Robots and Systems: The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) will be held on October 23–27, 2022 in The Ky... | [
28,
29,
42,
52
] | {"<|multi_cite_1_1|>": "ss-2486970", "<|multi_cite_1_2|>": "ss-2086839", "<|multi_cite_1_3|>": "ss-2086840", "<|multi_cite_1_4|>": "ss-2086841", "<|multi_cite_2_1|>": "ss-2086842", "<|multi_cite_2_2|>": "ss-2086843", "<|multi_cite_3_1|>": "ss-2086839", "<|multi_cite_3_2|>": "ss-2542089", "<|multi_cite_3_3|>": "ss-20868... |
2403.19273 | <|paper_start|> Title: A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
Abstract: A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors: The development of an intelligent agricultural decision-supp... | [
"<|reference_start|> Climate Impacts on Agriculture: Implications for Crop Production: Changes in temperature, CO 2 , and precipitation under the scenarios of climate change for the next 30 yr present a challenge to crop production. This review focuses on the impact of temperature, CO 2 , and ozone on agronomic cro... | [
2,
5,
6,
7
] | {"<|cite_1|>": "ss-755892", "<|cite_2|>": "ss-1613775", "<|cite_3|>": "ss-1318508", "<|cite_4|>": "ss-755893", "<|cite_5|>": "arxiv-190711", "<|cite_6|>": "ss-1613775", "<|cite_7|>": "ss-739616", "<|cite_8|>": "ss-1613776", "<|cite_9|>": "ss-1613777", "<|cite_10|>": "ss-1613778", "<|cite_13|>": "ss-1613779", "<|cite_14... |
2406.16526-1 | <|cite_start|> (Reference: Code-based Automated Program Fixing: Many programmers, when they encounter an error, would like to have the benefit of automatic fix suggestions---as long as they are, most of the time, adequate. Initial research in this direction has generally limited itself to specific areas, such as data ... | [
"<|reference_start|> {History Driven Program Repair: Effective automated program repair techniques have great potential to reduce the costs of debugging and maintenance. Previously proposed automated program repair (APR) techniques often follow a generate-and-validate and test-case-driven procedure: They first rand... | [
7,
9,
15,
22
] | {"<|multi_cite_1_1|>": "ss-1270798", "<|multi_cite_1_2|>": "ss-1270799", "<|multi_cite_1_3|>": "ss-763378", "<|multi_cite_1_4|>": "ss-737862", "<|multi_cite_1_5|>": "arxiv-142664", "<|multi_cite_1_6|>": "ss-1294996", "<|multi_cite_1_7|>": "arxiv-214196", "<|multi_cite_1_8|>": "ss-1273149", "<|multi_cite_1_9|>": "ss-825... |
1809.07524 | <|paper_start|> Title: Diffraction-Aware Sound Localization for a Non-Line-of-Sight Source
Abstract: Diffraction-Aware Sound Localization for a Non-Line-of-Sight Source: We present a novel sound localization algorithm for a non-line-of-sight (NLOS) sound source in indoor environments. Our approach exploits the diffract... | [
"<|reference_start|> Human Identification and Localization by Robots in Collaborative Environments: <|reference_end|>",
"<|reference_start|> A methodology for sound source localization and tracking: Development of 3d microphone array for near-field and far-field applications: Acoustic source localization and tra... | [
1,
2,
18,
20
] | {"<|cite_1|>": "arxiv-140794", "<|multi_cite_2_1|>": "ss-1642659", "<|multi_cite_2_2|>": "ss-1642660", "<|multi_cite_3_1|>": "ss-1099110", "<|multi_cite_3_2|>": "arxiv-141835", "<|multi_cite_4_1|>": "ss-2279367", "<|multi_cite_4_2|>": "ss-2279368", "<|multi_cite_4_4|>": "arxiv-140794", "<|cite_5|>": "arxiv-140794", "<|... |
1801.02279-0 | <|paper_start|> Title: Identity-preserving Face Recovery from Portraits
Abstract: Identity-preserving Face Recovery from Portraits: Recovering the latent photorealistic faces from their artistic portraits aids human perception and facial analysis. However, a recovery process that can preserve identity is challenging be... | [
"<|reference_start|> Diversified Texture Synthesis with Feed-forward Networks: Recent progresses on deep discriminative and generative modeling have shown promising results on texture synthesis. However, existing feed-forward based methods trade off generality for efficiency, which suffer from many issues, such as ... | [
9,
15,
20,
46
] | {"<|cite_1|>": "arxiv-94708", "<|cite_2|>": "arxiv-94708", "<|cite_3|>": "ss-684085", "<|cite_4|>": "arxiv-94708", "<|cite_5|>": "arxiv-110890", "<|multi_cite_6_1|>": "arxiv-93753", "<|multi_cite_6_2|>": "arxiv-102888", "<|multi_cite_6_3|>": "arxiv-94708", "<|multi_cite_6_4|>": "arxiv-108534", "<|multi_cite_6_5|>": "ar... |
2002.11152-0 | <|paper_start|> Title: Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
Abstract: Fundamental Issues Regarding Uncertainties in Artificial Neural Networks: Artificial Neural Networks (ANNs) implement a specific form of multi-variate extrapolation and will generate an output for any input pattern... | [
"<|reference_start|> The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables: The reparameterization trick enables optimizing large scale stochastic computation graphs via gradient descent. The essence of the trick is to refactor each stochastic node into a differentiable function of its par... | [
16,
20,
43,
50
] | {"<|cite_1|>": "ss-1674413", "<|cite_4|>": "ss-1803542", "<|cite_5|>": "ss-694754", "<|cite_6|>": "ss-1346499", "<|cite_7|>": "ss-1219805", "<|multi_cite_8_1|>": "ss-1279275", "<|multi_cite_8_2|>": "ss-1803543", "<|cite_10|>": "ss-1054407", "<|multi_cite_12_1|>": "ss-1054407", "<|cite_13|>": "ss-771393", "<|cite_14|>":... |
1906.08099 | <|paper_start|> Title: Neuromorphic Liquid Marbles With Aqueous Carbon Nanotube Cores
Abstract: Neuromorphic Liquid Marbles With Aqueous Carbon Nanotube Cores: Neuromorphic computing devices attempt to emulate features of biological nervous systems through mimicking the properties of synapses, towards implementing the ... | [
"<|reference_start|> Magnetically Driven Manipulation of Nonmagnetic Liquid Marbles: Billiards with Liquid Marbles: Liquid marbles are droplets encapsulated by a layer of hydrophobic nanoparticles and have been extensively employed in digital microfluidics and lab-on-a-chip systems in recent years. In this study, m... | [
8,
11,
13,
14
] | {"<|multi_cite_1_1|>": "ss-1510942", "<|multi_cite_1_2|>": "arxiv-74369", "<|multi_cite_1_3|>": "arxiv-64887", "<|multi_cite_1_4|>": "ss-1510943", "<|multi_cite_1_5|>": "ss-1510944", "<|multi_cite_1_6|>": "ss-1510945", "<|multi_cite_1_7|>": "ss-1510946", "<|cite_2|>": "ss-1510947", "<|multi_cite_3_1|>": "ss-1015941", "... |
2010.01272 | <|paper_start|> Title: Towards Interpretable Reasoning over Paragraph Effects in Situation
Abstract: Towards Interpretable Reasoning over Paragraph Effects in Situation: We focus on the task of reasoning over paragraph effects in situation, which requires a model to understand the cause and effect described in a backgr... | [
"<|reference_start|> Evaluating nlp models via contrast sets: Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform wel... | [
8,
9,
17,
19
] | {"<|multi_cite_3_1|>": "ss-1832266", "<|multi_cite_3_2|>": "ss-1234837", "<|multi_cite_3_3|>": "ss-963504", "<|multi_cite_3_4|>": "ss-888331", "<|cite_4|>": "arxiv-218950", "<|multi_cite_1_1|>": "arxiv-218950", "<|multi_cite_1_2|>": "arxiv-263002", "<|multi_cite_1_3|>": "arxiv-241267", "<|multi_cite_1_4|>": "ss-1957912... |
1510.07394 | <|paper_start|> Title: Capacity of the Gaussian Two-Hop Full-Duplex Relay Channel with Residual Self-Interference
Abstract: Capacity of the Gaussian Two-Hop Full-Duplex Relay Channel with Residual Self-Interference: In this paper, we investigate the capacity of the Gaussian two-hop full-duplex (FD) relay channel with r... | [
"<|reference_start|> Throughput Analysis for Full-Duplex Wireless Networks with Imperfect Self-interference Cancellation: This paper investigates the throughput for wireless network with full-duplex radios using stochastic geometry. Full-duplex (FD) radios can exchange data simultaneously with each other. On the ot... | [
1,
6,
15,
16
] | {"<|cite_1|>": "ss-1350666", "<|cite_3|>": "arxiv-73658", "<|cite_4|>": "ss-1589170", "<|cite_5|>": "ss-1432607", "<|cite_6|>": "arxiv-69018", "<|cite_7|>": "ss-1688093", "<|cite_8|>": "arxiv-69018", "<|cite_9|>": "arxiv-69018", "<|cite_10|>": "ss-1350666", "<|cite_11|>": "arxiv-52254", "<|multi_cite_12_1|>": "ss-22734... |
2303.02141-1 | have demonstrated promising quantitative improvement and new qualitative capabilities with increasing scale <|cite_start|> (Reference: When Do You Need Billions of Words of Pretraining Data?: NLP is currently dominated by general-purpose pretrained language models like RoBERTa, which achieve strong performance on NLU t... | [
"<|reference_start|> Sparse Networks from Scratch: Faster Training without Losing Performance: We demonstrate the possibility of what we call sparse learning: accelerated training of deep neural networks that maintain sparse weights throughout training while achieving dense performance levels. We accomplish this by... | [
3,
6,
14,
15
] | {"<|cite_1|>": "ss-1658833", "<|multi_cite_2_1|>": "arxiv-151068", "<|multi_cite_2_2|>": "ss-832115", "<|multi_cite_2_3|>": "arxiv-280484", "<|multi_cite_2_4|>": "arxiv-250101", "<|multi_cite_3_1|>": "arxiv-136506", "<|multi_cite_3_2|>": "arxiv-192853", "<|multi_cite_3_3|>": "arxiv-349552", "<|multi_cite_4_1|>": "arxiv... |
2404.12639 | <|paper_start|> Title: Single-Task Continual Offline Reinforcement Learning
Abstract: Single-Task Continual Offline Reinforcement Learning: In this paper, we study the continual learning problem of single-task offline reinforcement learning. In the past, continual reinforcement learning usually only dealt with multitas... | [
"<|reference_start|> On Specification Transparency: Toward A Formal Framework for Designer Comprehensibility of Discrete-Event Control Specifications in Finite Automata: In control of discrete-event systems (DESs), specifying control requirements in automata is not a trivial task. For many DES applications, designe... | [
26,
30,
35,
39
] | {"<|cite_1|>": "arxiv-200198", "<|cite_3|>": "ss-2230027", "<|multi_cite_4_1|>": "ss-718786", "<|multi_cite_4_2|>": "ss-2230028", "<|cite_6|>": "ss-2230029", "<|cite_7|>": "ss-2173235", "<|cite_8|>": "ss-1536144", "<|cite_9|>": "ss-2080024", "<|cite_10|>": "ss-1536144", "<|multi_cite_11_1|>": "arxiv-111666", "<|multi_c... |
2302.11312 | <|paper_start|> Title: Behavior Proximal Policy Optimization
Abstract: Behavior Proximal Policy Optimization: Offline reinforcement learning (RL) is a challenging setting where existing off-policy actor-critic methods perform poorly due to the overestimation of out-of-distribution state-action pairs. Thus, various addi... | [
"<|reference_start|> Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning: Offline Reinforcement Learning (RL) aims to learn policies from previously collected datasets without exploring the environment. Directly applying off-policy algorithms to offline RL usually fails due to the extrap... | [
33,
37,
44,
46
] | {"<|cite_1|>": "ss-965032", "<|cite_2|>": "arxiv-153424", "<|cite_3|>": "arxiv-220059", "<|multi_cite_4_1|>": "ss-1289096", "<|multi_cite_4_2|>": "arxiv-259548", "<|cite_5|>": "arxiv-263399", "<|cite_6|>": "arxiv-183660", "<|multi_cite_7_1|>": "arxiv-183660", "<|multi_cite_7_2|>": "arxiv-236277", "<|multi_cite_8_1|>": ... |
2001.04609 | <|paper_start|> Title: Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Abstract: Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution: Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently. However, most existing model... | [
"<|reference_start|> Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress: <|reference_end|>",
"<|reference_start|> Super-resolution reconstruction of hyperspectral images: Hyperspectral imagery is used for a wide variety of applications, inc... | [
3,
7,
10,
19
] | {"<|cite_1|>": "ss-2386681", "<|cite_2|>": "ss-2490776", "<|cite_3|>": "ss-2386682", "<|cite_4|>": "ss-1268928", "<|cite_6|>": "arxiv-203051", "<|multi_cite_7_1|>": "ss-2386683", "<|multi_cite_7_2|>": "ss-1268936", "<|multi_cite_7_3|>": "ss-1268931", "<|cite_8|>": "arxiv-174415", "<|cite_9|>": "arxiv-154921", "<|multi_... |
1809.06445-0 | <|paper_start|> Title: Efficient 2D-3D Matching for Multi-Camera Visual Localization
Abstract: Efficient 2D-3D Matching for Multi-Camera Visual Localization: Visual localization, i.e., determining the position and orientation of a vehicle with respect to a map, is a key problem in autonomous driving. We present a multi... | [
"<|reference_start|> City-scale Localization for Cameras with Known Vertical Direction: We consider the problem of localizing a novel image in a large 3D model, given that the gravitational vector is known. In principle, this is just an instance of camera pose estimation, but the scale of the problem introduces som... | [
9,
24,
67,
68
] | {"<|cite_1|>": "arxiv-133322", "<|cite_2|>": "arxiv-72495", "<|cite_3|>": "ss-783932", "<|cite_4|>": "arxiv-133322", "<|multi_cite_5_1|>": "ss-1034990", "<|multi_cite_5_2|>": "ss-1062661", "<|multi_cite_6_1|>": "ss-1347631", "<|multi_cite_6_2|>": "ss-1034990", "<|multi_cite_6_3|>": "ss-722643", "<|multi_cite_6_4|>": "s... |
2006.14352 | <|paper_start|> Title: HARMer: Cyber-attacks Automation and Evaluation
Abstract: HARMer: Cyber-attacks Automation and Evaluation: With the increasing growth of cyber-attack incidences, it is important to develop innovative and effective techniques to assess and defend networked systems against cyber attacks. One of the... | [
"<|reference_start|> 22nd Annual Computer Security Applications Conference (ACSAC 2006), 11-15 December 2006, Miami Beach, Florida, USA: <|reference_end|>",
"<|reference_start|> Towards scalable security analysis using multi-layered security models: <|reference_end|>",
"<|reference_start|> Knowledge-based Dec... | [
3,
7,
11,
39
] | {"<|cite_2|>": "ss-2202274", "<|cite_3|>": "ss-1099539", "<|cite_4|>": "ss-761622", "<|cite_5|>": "ss-1978712", "<|cite_6|>": "ss-1409114", "<|multi_cite_7_1|>": "ss-1624084", "<|multi_cite_7_2|>": "ss-1544213", "<|cite_8|>": "ss-1544213", "<|multi_cite_9_1|>": "ss-2202275", "<|multi_cite_9_2|>": "ss-840255", "<|multi_... |
1911.10765-1 | looked at the \emph{weighted} matroid intersection problem, and gave
polynomial time algorithms.
For certain special matroids faster algorithms are known. Indeed,
when the matroid is given explicitly, one can talk of pure running
time instead of oracle queries. For instance, for exact maximum cardinality
bipartite mat... | [
"<|reference_start|> Algebraic algorithms for linear matroid parity problems: We present fast and simple algebraic algorithms for the linear matroid parity problem and its applications. For the linear matroid parity problem, we obtain a simple randomized algorithm with running time <i>O</i>(<i>mr</i><sup>ω-1</sup>)... | [
5,
6,
8,
11
] | {"<|multi_cite_1_1|>": "ss-1278651", "<|multi_cite_1_2|>": "ss-2186624", "<|multi_cite_2_1|>": "ss-1687427", "<|multi_cite_2_2|>": "arxiv-5046", "<|multi_cite_2_3|>": "ss-1518275", "<|cite_3|>": "ss-1111937", "<|multi_cite_4_1|>": "ss-915257", "<|multi_cite_4_2|>": "ss-1833958", "<|multi_cite_4_3|>": "ss-730910", "<|mu... |
1902.04111 | <|paper_start|> Title: Statistical Model Checking for Hyperproperties
Abstract: Statistical Model Checking for Hyperproperties: Hyperproperties have shown to be a powerful tool for expressing and reasoning about information-flow security policies. In this paper, we investigate the problem of statistical model checking ... | [
"<|reference_start|> Statistical verification of hyperproperties for cyber-physical systems: Many important properties of cyber-physical systems (CPS) are defined upon the relationship between multiple executions simultaneously in continuous time. Examples include probabilistic fairness and sensitivity to modeling ... | [
39,
50,
57,
59
] | {"<|multi_cite_1_1|>": "ss-1036420", "<|multi_cite_1_2|>": "ss-746060", "<|cite_2|>": "ss-698237", "<|cite_3|>": "ss-767290", "<|multi_cite_4_1|>": "ss-1509999", "<|multi_cite_4_2|>": "arxiv-153911", "<|cite_5|>": "ss-854152", "<|cite_6|>": "ss-767969", "<|cite_7|>": "arxiv-116567", "<|cite_8|>": "arxiv-153911", "<|cit... |
1405.3866 | <|paper_start|> Title: Speeding up Convolutional Neural Networks with Low Rank Expansions
Abstract: Speeding up Convolutional Neural Networks with Low Rank Expansions: The focus of this paper is speeding up the evaluation of convolutional neural networks. While delivering impressive results across a range of computer v... | [
"<|reference_start|> ImageNet classification with deep convolutional neural\nnetworks: We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rate... | [
0,
2,
13,
21
] | {"<|multi_cite_1_1|>": "ss-690198", "<|multi_cite_1_2|>": "ss-996299", "<|multi_cite_1_3|>": "arxiv-54130", "<|multi_cite_1_4|>": "arxiv-51204", "<|multi_cite_1_5|>": "arxiv-54338", "<|multi_cite_1_6|>": "arxiv-54395", "<|multi_cite_1_7|>": "arxiv-58497", "<|multi_cite_2_1|>": "ss-690198", "<|cite_3|>": "ss-1713975", "... |
1408.2303 | <|paper_start|> Title: Gabidulin Decoding via Minimal Bases of Linearized Polynomial Modules
Abstract: Gabidulin Decoding via Minimal Bases of Linearized Polynomial Modules: We show how Gabidulin codes can be decoded via parametrization by using interpolation modules over the ring of linearized polynomials with composi... | [
"<|reference_start|> A Fast Matrix Decoding Algorithm for Rank-Error-Correcting Codes: <|reference_end|>",
"<|reference_start|> Decoding Interleaved Gabidulin Codes and Multisequence Linearized Shift-Register Synthesis: An interleaved Gabidulin code is the direct sum of ℓ Gabidulin codes. We propose an efficient... | [
6,
9,
18,
31
] | {"<|multi_cite_1_1|>": "arxiv-675789", "<|multi_cite_1_2|>": "arxiv-1740", "<|cite_3|>": "ss-1529950", "<|cite_4|>": "ss-1005858", "<|cite_5|>": "ss-1129086", "<|cite_6|>": "arxiv-28374", "<|multi_cite_7_2|>": "ss-1911597", "<|multi_cite_8_1|>": "ss-929455", "<|multi_cite_8_2|>": "ss-1687342", "<|multi_cite_8_3|>": "ss... |
2406.07835-0 | <|paper_start|> Title: SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
Abstract: SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature: We present SciRIFF (Scientific Resource for Instruction-Following and Finetuning), a dataset of ... | [
"<|reference_start|> The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces: Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grow... | [
1,
4,
22,
32
] | {"<|cite_1|>": "ss-1927039", "<|multi_cite_2_1|>": "arxiv-491884", "<|multi_cite_2_2|>": "arxiv-481289", "<|cite_3|>": "arxiv-532800", "<|multi_cite_4_1|>": "ss-1167696", "<|multi_cite_4_2|>": "arxiv-585476", "<|multi_cite_5_1|>": "ss-844569", "<|multi_cite_5_2|>": "ss-1252776", "<|cite_6|>": "arxiv-559643", "<|multi_c... |
1807.00993 | <|paper_start|> Title: Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation
Abstract: Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation: A new whole-sentence language model - neural trans-d... | [
"<|reference_start|> Trans-dimensional Random Fields for Language Modeling: Language modeling (LM) involves determining the joint probability of words in a sentence. The conditional approach is dominant, representing the joint probability in terms of conditionals. Examples include n-gram LMs and neural network LMs.... | [
2,
4,
13,
23
] | {"<|cite_1|>": "arxiv-668829", "<|cite_2|>": "ss-1536373", "<|multi_cite_3_1|>": "ss-1063185", "<|multi_cite_3_2|>": "ss-1937859", "<|multi_cite_3_3|>": "arxiv-130064", "<|multi_cite_3_4|>": "arxiv-138535", "<|multi_cite_3_5|>": "ss-1376203", "<|multi_cite_4_1|>": "ss-1063185", "<|multi_cite_4_2|>": "ss-1937859", "<|mu... |
1102.4137 | <|paper_start|> Title: Using Distributed Rotations for a Low-Complexity Dynamic Decode-and-Forward Relay Protocol
Abstract: Using Distributed Rotations for a Low-Complexity Dynamic Decode-and-Forward Relay Protocol: In this paper, we propose to implement the dynamic decode-and-forward (DDF) protocol with distributed ro... | [
"<|reference_start|> Cooperative strategies and capacity theorems for relay networks: Coding strategies that exploit node cooperation are developed for relay networks. Two basic schemes are studied: the relays decode-and-forward the source message to the destination, or they compress-and-forward their channel outpu... | [
0,
1,
2,
3
] | {"<|cite_2|>": "ss-814646", "<|cite_3|>": "ss-1026699", "<|cite_4|>": "ss-2535868", "<|cite_5|>": "ss-2535868"} |
2408.05315 | <|paper_start|> Title: Omobot: a low-cost mobile robot for autonomous search and fall detection
Abstract: Omobot: a low-cost mobile robot for autonomous search and fall detection: Detecting falls among the elderly and alerting their community responders can save countless lives. We design and develop a low-cost mobile ... | [
"<|reference_start|> 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020: <|reference_end|>",
"<|reference_start|> A survey on vision-based fall detection: Falls are a major cause of fatal injury for the elderly population. To improve the quality of livin... | [
23,
29,
34,
37
] | {"<|multi_cite_1_1|>": "ss-2449001", "<|multi_cite_1_2|>": "ss-2449002", "<|cite_2|>": "ss-2449003", "<|cite_3|>": "ss-2449004", "<|cite_4|>": "ss-2449002", "<|cite_5|>": "ss-2449005", "<|multi_cite_6_1|>": "ss-2449004", "<|multi_cite_6_2|>": "ss-2449005", "<|multi_cite_6_3|>": "ss-2449006", "<|multi_cite_6_4|>": "ss-7... |
2111.14479 | <|paper_start|> Title: Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition
Abstract: Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition: Recognition of overlapped speech has been a highly challenging task to date. State-of-the-art multi-channel speech separat... | [
"<|reference_start|> Dual-Path Modeling for Long Recording Speech Separation in Meetings: The continuous speech separation (CSS) is a task to separate the speech sources from a long, partially overlapped recording, which involves a varying number of speakers. A straightforward extension of conventional utterance-le... | [
8,
14,
18,
22
] | {"<|multi_cite_1_1|>": "arxiv-204763", "<|multi_cite_1_2|>": "ss-1116795", "<|multi_cite_2_1|>": "ss-749058", "<|multi_cite_2_2|>": "ss-1357836", "<|multi_cite_3_1|>": "ss-1319646", "<|multi_cite_3_2|>": "ss-1520792", "<|cite_4|>": "ss-789951", "<|multi_cite_5_1|>": "arxiv-228804", "<|multi_cite_5_2|>": "arxiv-323085",... |
2407.17783 | <|paper_start|> Title: How Lightweight Can A Vision Transformer Be
Abstract: How Lightweight Can A Vision Transformer Be: In this paper, we explore a strategy that uses Mixture-of-Experts (MoE) to streamline, rather than augment, vision transformers. Each expert in an MoE layer is a SwiGLU feedforward network, where V ... | [
"<|reference_start|> Bringing AI To Edge: From Deep Learning's Perspective: <|reference_end|>",
"<|reference_start|> An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applicati... | [
0,
1,
2,
4
] | {"<|cite_1|>": "ss-748766", "<|cite_2|>": "arxiv-298443", "<|cite_3|>": "ss-685902", "<|multi_cite_4_1|>": "arxiv-417977", "<|multi_cite_4_2|>": "ss-682260", "<|cite_5|>": "arxiv-371693", "<|cite_6|>": "arxiv-582608", "<|cite_7|>": "arxiv-380525", "<|cite_8|>": "arxiv-114965", "<|cite_9|>": "arxiv-247953", "<|cite_10|>... |
1702.03429 | <|paper_start|> Title: Decoupled Sampling Based Planning Method for Multiple Autonomous Vehicles
Abstract: Decoupled Sampling Based Planning Method for Multiple Autonomous Vehicles: This paper proposes a sampling based planning algorithm to control autonomous vehicles. We propose an improved Rapidly-exploring Random Tr... | [
"<|reference_start|> Incremental Sampling-based Algorithm for Minimum-violation Motion Planning: This paper studies the problem of control strategy synthesis for dynamical systems with differential constraints to fulfill a given reachability goal while satisfying a set of safety rules. Particular attention is devot... | [
1,
4,
8,
28
] | {"<|cite_1|>": "ss-1119213", "<|cite_2|>": "arxiv-45471", "<|cite_3|>": "ss-998826", "<|cite_4|>": "ss-998827", "<|cite_5|>": "ss-689031", "<|cite_6|>": "ss-775769", "<|cite_7|>": "ss-816568", "<|cite_8|>": "ss-998828", "<|cite_9|>": "ss-1294548", "<|cite_10|>": "ss-775769", "<|cite_11|>": "ss-998829", "<|cite_12|>": "... |
2111.03965 | <|paper_start|> Title: Tensor Deblurring and Denoising Using Total Variation
Abstract: Tensor Deblurring and Denoising Using Total Variation: We consider denoising and deblurring problems for tensors. While images can be discretized as matrices, the analogous procedure for color images or videos leads to a tensor formu... | [
"<|reference_start|> Image reconstruction and restoration: overview of common estimation structures and problems: Developments in the theory of image reconstruction and restoration over the past 20 or 30 years are outlined. Particular attention is paid to common estimation structures and to practical problems not p... | [
1,
3,
7,
9
] | {"<|multi_cite_1_1|>": "ss-1327958", "<|multi_cite_1_2|>": "ss-1485334", "<|multi_cite_2_1|>": "ss-1327959", "<|multi_cite_2_2|>": "ss-1294985", "<|multi_cite_3_1|>": "ss-788957", "<|multi_cite_3_2|>": "ss-2001062", "<|cite_4|>": "ss-700950", "<|cite_5|>": "ss-2277616", "<|multi_cite_6_1|>": "ss-1292208", "<|multi_cite... |
2401.17472 | <|paper_start|> Title: Convergence of the deep BSDE method for stochastic control problems formulated through the stochastic maximum principle
Abstract: Convergence of the deep BSDE method for stochastic control problems formulated through the stochastic maximum principle: It is well-known that decision-making problems... | [
"<|reference_start|> Piecewise Affine Neural Networks and Nonlinear Control: <|reference_end|>",
"<|reference_start|> Deep neural networks algorithms for stochastic control problems on finite horizon: Convergence analysis: This paper develops algorithms for high-dimensional stochastic control problems based on d... | [
9,
13,
30,
32
] | {"<|cite_1|>": "ss-2310730", "<|cite_2|>": "ss-714670", "<|cite_3|>": "ss-1513962", "<|cite_4|>": "ss-1506589", "<|cite_5|>": "ss-1535027", "<|cite_6|>": "ss-1427186", "<|cite_7|>": "ss-1523453", "<|cite_8|>": "arxiv-110773", "<|cite_9|>": "ss-963568", "<|cite_10|>": "ss-2310731", "<|cite_11|>": "ss-2310732", "<|cite_1... |
2303.10316 | <|paper_start|> Title: Zero-shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning
Abstract: Zero-shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning: This paper introduces a zero-shot sound event classification (ZS-SEC) me... | [
"<|reference_start|> Learning to match transient sound events using attentional similarity for few-shot sound recognition: In this paper, we introduce a novel attentional similarity module for the problem of few-shot sound recognition. Given a few examples of an unseen sound event, a classifier must be quickly adap... | [
8,
14,
16,
18
] | {"<|multi_cite_1_1|>": "ss-925851", "<|multi_cite_1_3|>": "ss-925852", "<|multi_cite_2_1|>": "ss-925853", "<|multi_cite_2_2|>": "ss-1851233", "<|multi_cite_2_3|>": "arxiv-269706", "<|multi_cite_2_4|>": "ss-815198", "<|multi_cite_3_2|>": "ss-925854", "<|multi_cite_3_3|>": "arxiv-261432", "<|multi_cite_4_1|>": "arxiv-183... |
2111.05530-0 | <|paper_start|> Title: Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
Abstract: Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming: There is a recent interest on first-order methods for linear programming (LP). In this paper,we propose ... | [
"<|reference_start|> Practical Large-Scale Linear Programming using Primal-Dual Hybrid\nGradient: We present PDLP, a practical first-order method for linear programming (LP) that can solve to the high levels of accuracy that are expected in traditional LP applications. In addition, it can scale to very large proble... | [
5,
21,
22,
45
] | {"<|multi_cite_1_1|>": "ss-1338326", "<|multi_cite_1_2|>": "ss-965467", "<|multi_cite_1_3|>": "ss-1338327", "<|multi_cite_1_4|>": "ss-1103474", "<|multi_cite_1_6|>": "ss-1364874", "<|cite_2|>": "ss-815997", "<|cite_3|>": "ss-736146", "<|multi_cite_4_1|>": "ss-815997", "<|multi_cite_4_2|>": "ss-1089120", "<|multi_cite_5... |
2310.01860-1 | <|cite_start|> (Reference: Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping: In this paper, we propose a new accelerated stochastic first-order method called clipped-SSTM for smooth convex stochastic optimization with heavy-tailed distributed noise in stochastic gradients and derive th... | [
"<|reference_start|> Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise: Stochastic first-order methods such as Stochastic Extragradient (SEG) or Stochastic Gradient Descent-Ascent (SGDA) for solving smooth minimax problems and, more generally, variational inequality problems (VIP) have... | [
2,
4,
7,
8
] | {"<|cite_1|>": "arxiv-266978", "<|multi_cite_2_1|>": "ss-2434299", "<|multi_cite_2_2|>": "arxiv-216876", "<|multi_cite_2_3|>": "arxiv-266978", "<|multi_cite_2_4|>": "arxiv-424330", "<|multi_cite_2_5|>": "arxiv-351329", "<|multi_cite_2_6|>": "arxiv-478644", "<|multi_cite_2_7|>": "ss-812272", "<|multi_cite_2_8|>": "ss-81... |
1501.02516 | <|paper_start|> Title: Beam-searching and Transmission Scheduling in Millimeter Wave Communications
Abstract: Beam-searching and Transmission Scheduling in Millimeter Wave Communications: Millimeter wave (mmW) wireless networks are capable to support multi-gigabit data rates, by using directional communications with na... | [
"<|reference_start|> Directional MAC protocol for millimeter wave based wireless personal area networks: Recently, up to 7 GHz license-free spectrum around 60 GHz has been allocated worldwide for high data rate wireless communications. This enables the deployment of WPANs at 60 GHz for short-range multimedia applic... | [
1,
5,
6,
8
] | {"<|cite_1|>": "arxiv-55097", "<|multi_cite_4_1|>": "ss-1718342", "<|multi_cite_4_2|>": "ss-973356", "<|multi_cite_5_1|>": "ss-806518", "<|multi_cite_5_2|>": "ss-781275", "<|cite_6|>": "arxiv-55097", "<|cite_8|>": "ss-806518", "<|cite_9|>": "ss-806518", "<|cite_10|>": "ss-1012808", "<|cite_11|>": "ss-1373796"} |
2406.04857-0 | <|paper_start|> Title: A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
Abstract: A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering: We consider the semi-random graph model of [Makarychev, Makarychev and Vijayaraghavan, STOC'12], where, given a random bip... | [
"<|reference_start|> Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications: In this paper we extend our previous work on the stochastic block model, a commonly used generative model for social and biological networks, and the problem of inferring functional groups o... | [
36,
41,
44,
45
] | {"<|cite_1|>": "ss-1200698", "<|cite_2|>": "ss-1025670", "<|cite_3|>": "ss-1851008", "<|cite_4|>": "ss-1365153", "<|cite_5|>": "ss-1242827", "<|multi_cite_6_1|>": "ss-760816", "<|multi_cite_6_2|>": "ss-1359765", "<|multi_cite_7_1|>": "ss-1003654", "<|multi_cite_7_2|>": "ss-1031800", "<|multi_cite_7_3|>": "ss-821539", "... |
1711.10589 | <|paper_start|> Title: Contextual Outlier Interpretation
Abstract: Contextual Outlier Interpretation: Outlier detection plays an essential role in many data-driven applications to identify isolated instances that are different from the majority. While many statistical learning and data mining techniques have been used ... | [
"<|reference_start|> Finding Intensional Knowledge of Distance-Based Outliers: <|reference_end|>",
"<|reference_start|> Dolphin: an efficient algorithm for mining distance-based outliers in very large datasets: In this work a novel distance-based outlier detection algorithm, named DOLPHIN, working on disk-reside... | [
16,
25,
27,
40
] | {"<|multi_cite_1_1|>": "ss-888850", "<|multi_cite_1_2|>": "ss-944654", "<|multi_cite_3_1|>": "ss-942285", "<|multi_cite_3_2|>": "arxiv-107196", "<|multi_cite_3_3|>": "ss-796008", "<|cite_4|>": "ss-1253423", "<|multi_cite_5_1|>": "ss-1463345", "<|multi_cite_5_2|>": "ss-853136", "<|multi_cite_6_2|>": "ss-774373", "<|cite... |
1911.13294 | <|paper_start|> Title: Classification of distributed binary labeling problems
Abstract: Classification of distributed binary labeling problems: We present a complete classification of the deterministic distributed time complexity for a family of graph problems: binary labeling problems in trees. These are locally check... | [
"<|reference_start|> An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model: Over the past 30 years numerous algorithms have been designed for symmetry breaking problems in the LOCAL model, such as maximal matching, MIS, vertex coloring, and edge-coloring. For most problems the... | [
5,
8,
9,
11
] | {"<|cite_1|>": "ss-785022", "<|multi_cite_2_1|>": "arxiv-186940", "<|multi_cite_2_2|>": "arxiv-193005", "<|multi_cite_2_3|>": "ss-1396727", "<|multi_cite_7_1|>": "arxiv-86484", "<|multi_cite_7_2|>": "arxiv-92953", "<|multi_cite_7_3|>": "arxiv-103724", "<|multi_cite_3_1|>": "ss-1516866", "<|multi_cite_3_2|>": "ss-798526... |
2406.07126 | <|paper_start|> Title: Logical Distillation of Graph Neural Networks
Abstract: Logical Distillation of Graph Neural Networks: We present a logic based interpretable model for learning on graphs and an algorithm to distill this model from a Graph Neural Network (GNN). Recent results have shown connections between the ex... | [
"<|reference_start|> Global Explainability of GNNs via Logic Combination of Learned Concepts: While instance-level explanation of GNN is a well-studied problem with plenty of approaches being developed, providing a global explanation for the behaviour of a GNN is much less explored, despite its potential in interpr... | [
7,
8,
13,
17
] | {"<|cite_1|>": "arxiv-174692", "<|cite_2|>": "arxiv-105493", "<|cite_3|>": "ss-1097844", "<|cite_4|>": "arxiv-457648", "<|multi_cite_5_1|>": "ss-1364728", "<|multi_cite_5_2|>": "arxiv-337819", "<|multi_cite_5_3|>": "arxiv-487162", "<|cite_6|>": "arxiv-453684", "<|multi_cite_7_1|>": "ss-682234", "<|multi_cite_7_2|>": "s... |
2010.12460 | <|paper_start|> Title: Adaptive Gradient Quantization for Data-Parallel SGD
Abstract: Adaptive Gradient Quantization for Data-Parallel SGD: Many communication-efficient variants of SGD use gradient quantization schemes. These schemes are often heuristic and fixed over the course of training. We empirically observe that... | [
"<|reference_start|> Large Scale Distributed Deep Networks: Recent work in unsupervised feature learning and deep learning has shown that being able to train large models can dramatically improve performance. In this paper, we consider the problem of training a deep network with billions of parameters using tens of... | [
2,
8,
10,
24
] | {"<|multi_cite_1_1|>": "ss-1432810", "<|multi_cite_1_3|>": "ss-1110379", "<|multi_cite_1_4|>": "ss-1017681", "<|multi_cite_1_5|>": "ss-1532772", "<|multi_cite_1_6|>": "ss-1013228", "<|multi_cite_1_7|>": "ss-1013229", "<|multi_cite_1_8|>": "ss-1922963", "<|multi_cite_1_9|>": "arxiv-54645", "<|multi_cite_1_10|>": "arxiv-... |
2112.07791 | <|paper_start|> Title: A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Abstract: A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion: Knowledge graphs contain rich knowledge about various entities and the relational information among them, while temporal knowledge gra... | [
"<|reference_start|> TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion: Inferring missing facts in temporal knowledge graphs (TKGs) is a fundamental and challenging task. Previous works have approached this problem by augmenting methods for static knowledge graphs to leverage time-dependent rep... | [
10,
12,
13,
14
] | {"<|cite_1|>": "ss-2488290", "<|cite_2|>": "ss-2441547", "<|cite_3|>": "arxiv-179994", "<|multi_cite_4_1|>": "ss-1542718", "<|multi_cite_4_2|>": "arxiv-172022", "<|multi_cite_4_3|>": "arxiv-164318", "<|multi_cite_4_4|>": "arxiv-258648", "<|multi_cite_4_5|>": "arxiv-367983", "<|multi_cite_5_1|>": "arxiv-98116", "<|multi... |
2004.14185-1 | <|cite_start|> (Reference: Electrophysiological signatures of resting state networks in the human brain: Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This baseline is characterized by s... | [
"<|reference_start|> Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data: Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) record a mixture of ongoing neural processes, physiological and nonphysiological noise. The pat... | [
15,
17,
18,
21
] | {"<|cite_1|>": "ss-1769993", "<|multi_cite_2_1|>": "ss-1860239", "<|multi_cite_2_2|>": "ss-1409628", "<|multi_cite_2_3|>": "ss-1409628", "<|multi_cite_2_4|>": "ss-1943481", "<|multi_cite_2_5|>": "ss-1409628", "<|multi_cite_2_6|>": "ss-1943482", "<|multi_cite_2_7|>": "ss-1943483", "<|multi_cite_3_1|>": "ss-1943484", "<|... |
1410.0600 | <|paper_start|> Title: Cell Stores
Abstract: Cell Stores: Cell stores provide a relational-like, tabular level of abstraction to business users while leveraging recent database technologies, such as key-value stores and document stores. This allows to scale up and out the efficient storage and retrieval of highly dimen... | [
"<|reference_start|> {System R: Relational Approach to Database Management: System R is a database management system which provides a high level relational data interface. The systems provides a high level of data independence by isolating the end user as much as possible from underlying storage structures. The sys... | [
1,
3,
4,
7
] | {"<|cite_1|>": "ss-968335", "<|cite_2|>": "ss-720824", "<|cite_4|>": "ss-1789366", "<|cite_5|>": "ss-1073058", "<|cite_6|>": "ss-1073057", "<|cite_8|>": "ss-2537231", "<|cite_9|>": "ss-1439883", "<|cite_10|>": "ss-1789367"} |
1905.08723 | <|paper_start|> Title: A comparison of evaluation methods in coevolution
Abstract: A comparison of evaluation methods in coevolution: In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that evaluation against all possi... | [
"<|reference_start|> Co-evolving parasites improve simulated evolution as an optimization procedure: <|reference_end|>",
"<|reference_start|> Coevolutionary computation: This article proposes a general framework for the use of coevolution to boost the performance of genetic search. It combines coevolution with y... | [
0,
3,
7,
12
] | {"<|multi_cite_1_1|>": "ss-854432", "<|multi_cite_1_2|>": "ss-2291794", "<|multi_cite_1_3|>": "ss-854433", "<|multi_cite_1_4|>": "ss-1258557", "<|multi_cite_1_5|>": "ss-854434", "<|multi_cite_1_6|>": "ss-854435", "<|cite_2|>": "ss-883094", "<|multi_cite_3_1|>": "ss-883094", "<|multi_cite_3_2|>": "ss-854436", "<|cite_4|... |
2308.10053-1 | <|cite_start|> (Reference: Training language models to follow instructions with human feedback: Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In othe... | [
"<|reference_start|> Training language models to follow instructions with human feedback: Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In other w... | [
0,
5,
6,
7
] | {"<|multi_cite_1_1|>": "arxiv-185003", "<|multi_cite_1_2|>": "arxiv-218786", "<|multi_cite_1_3|>": "arxiv-277137", "<|multi_cite_1_4|>": "arxiv-428191", "<|cite_2|>": "arxiv-493693", "<|multi_cite_4_1|>": "arxiv-268228", "<|multi_cite_4_2|>": "arxiv-489148", "<|multi_cite_4_3|>": "arxiv-493693", "<|multi_cite_4_4|>": "... |
2210.08225 | <|paper_start|> Title: Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
Abstract: Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding: This paper proposes a learning-based video compression framework for variable-rate coding on Y... | [
"<|reference_start|> FVC: A New Framework towards Deep Video Compression in Feature Space: Learning based video compression attracts increasing attention in the past few years. The previous hybrid coding approaches rely on pixel space operations to reduce spatial and temporal redundancy, which may suffer from inacc... | [
3,
4,
6,
8
] | {"<|cite_1|>": "arxiv-182703", "<|cite_2|>": "arxiv-260747", "<|cite_3|>": "arxiv-251938", "<|cite_4|>": "arxiv-342162", "<|cite_5|>": "arxiv-337704", "<|cite_6|>": "arxiv-283035", "<|cite_7|>": "arxiv-370553", "<|cite_8|>": "arxiv-223023", "<|cite_9|>": "ss-2113822", "<|cite_10|>": "ss-726154", "<|cite_11|>": "ss-7261... |
2203.02622 | <|paper_start|> Title: Scaling R-GCN Training with Graph Summarization
Abstract: Scaling R-GCN Training with Graph Summarization: Training of Relational Graph Convolutional Networks (R-GCN) is a memory intense task. The amount of gradient information that needs to be stored during training for real-world graphs is ofte... | [
"<|reference_start|> Modeling Relational Data with Graph Convolutional Networks: Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) rem... | [
2,
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] | {"<|cite_1|>": "ss-789482", "<|cite_3|>": "ss-770694", "<|cite_4|>": "arxiv-119366", "<|cite_5|>": "ss-778891", "<|cite_6|>": "arxiv-334366", "<|cite_7|>": "arxiv-192617", "<|cite_8|>": "arxiv-227356", "<|cite_9|>": "arxiv-227356"} |
1911.07497 | <|paper_start|> Title: Deterministic partial binary circulant compressed sensing matrices
Abstract: Deterministic partial binary circulant compressed sensing matrices: Compressed sensing (CS) is a signal acquisition paradigm to simultaneously acquire and reduce dimension of signals that admit sparse representation. Thi... | [
"<|reference_start|> Compressive sensing by random convolution: This paper demonstrates that convolution with random waveform followed by random time-domain subsampling is a universally efficient compressive sensing strategy. We show that an $n$-dimensional signal which is $S$-sparse in any fixed orthonormal repres... | [
2,
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9
] | {"<|cite_3|>": "ss-2190918", "<|cite_4|>": "ss-782365", "<|cite_5|>": "ss-782366", "<|cite_6|>": "arxiv-37628", "<|cite_7|>": "ss-2190919", "<|multi_cite_9_1|>": "ss-2190920", "<|multi_cite_9_2|>": "arxiv-72117", "<|multi_cite_9_3|>": "arxiv-8736", "<|cite_10|>": "ss-2190919", "<|cite_11|>": "arxiv-75449", "<|multi_cit... |
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