node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
37,178 | 16 | Title: Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts
Abstract: Contrastive pretrained large Vision-Language Models (VLMs) like CLIP have revolutionized visual representation learning by providing good performance on downstream datasets. VLMs are 0-shot adapted to a downstream dataset by designing... | [
25874,
36179
] | Train |
37,179 | 24 | Title: In-Context Learning through the Bayesian Prism
Abstract: In-context learning is one of the surprising and useful features of large language models. How it works is an active area of research. Recently, stylized meta-learning-like setups have been devised that train these models on a sequence of input-output pair... | [
43906,
13700,
12070,
32206,
26578,
3795,
38389,
45529
] | Train |
37,180 | 16 | Title: Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
Abstract: Cross-lingual image captioning is confronted with both cross-lingual and cross-modal challenges for multimedia analysis. The crucial issue in this task is to model the global and local matching between the image and differe... | [] | Train |
37,181 | 24 | Title: Learning Representations without Compositional Assumptions
Abstract: This paper addresses unsupervised representation learning on tabular data containing multiple views generated by distinct sources of measurement. Traditional methods, which tackle this problem using the multi-view framework, are constrained by ... | [] | Train |
37,182 | 16 | Title: ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction
Abstract: Spatiotemporal prediction aims to generate future sequences by paradigms learned from historical contexts. It holds significant importance in numerous domains, including traffic flow prediction and weather forecasting. ... | [
41818,
35494
] | Train |
37,183 | 26 | Title: Structural Robustness of Complex Networks: A Survey of A Posteriori Measures[Feature]
Abstract: Network robustness is critical for various industrial and social networks against malicious attacks, which has various meanings in different research contexts and here it refers to the ability of a network to sustain ... | [] | Train |
37,184 | 4 | Title: What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Abstract: Differential privacy (DP) is a mathematical privacy notion increasingly deployed across government and industry. With DP, privacy protections are probabilistic: they are bounded by the privacy budget parameter, $\epsilon$. P... | [
10947
] | Test |
37,185 | 16 | Title: HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
Abstract: Neural Radiance Fields (NeRF) have become an increasingly popular representation to capture high-quality appearance and shape of scenes and objects. However, learning generalizable NeRF priors over categories of scenes or objects has been cha... | [
21997,
499,
541
] | Train |
37,186 | 30 | Title: Open Information Extraction via Chunks
Abstract: Open Information Extraction (OIE) aims to extract relational tuples from open-domain sentences. Existing OIE systems split a sentence into tokens and recognize token spans as tuple relations and arguments. We instead propose Sentence as Chunk sequence (SaC) and re... | [
4455
] | Validation |
37,187 | 3 | Title: Hybrid deliberation: Citizen dialogues in a post-pandemic era
Abstract: This report first provides a brief review of various forms of dialogue-based participation, e.g., Citizen Assembly, Citizen Lottery, Citizen Jury, Deliberative Polling, and Participatory Budgeting. Challenges associated with these long-lasti... | [] | Test |
37,188 | 24 | Title: ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Abstract: Decision Transformer (DT), which employs expressive sequence modeling techniques to perform action generation, has emerged as a promising approach to offline policy optimization. However, DT generates actions condi... | [
2081,
23970,
44649,
16407,
30200
] | Train |
37,189 | 24 | Title: Lower Bounds for Learning in Revealing POMDPs
Abstract: This paper studies the fundamental limits of reinforcement learning (RL) in the challenging \emph{partially observable} setting. While it is well-established that learning in Partially Observable Markov Decision Processes (POMDPs) requires exponentially man... | [
24441,
25852
] | Validation |
37,190 | 24 | Title: Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
Abstract: Benchmarking and co-design are essential for driving optimizations and innovation around ML models, ML software, and next-generation hardware. Full workload benchmarks, e.g. MLPerf, play an essential role in en... | [
17915,
3342
] | Validation |
37,191 | 24 | Title: Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning
Abstract: The increasing application of Artificial Intelligence and Machine Learning models poses potential risks of unfair behavior and, in light of recent regulations, has attracted the attention of the research co... | [] | Validation |
37,192 | 24 | Title: MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Abstract: Autoregressive transformers are spectacular models for short sequences but scale poorly to long sequences such as high-resolution images, podcasts, code, or books. We proposed Megabyte, a multi-scale decoder architecture that enab... | [
39873,
13700,
22373,
8968,
37209,
6457,
3804
] | Train |
37,193 | 10 | Title: GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
Abstract: The recently proposed Vision transformers (ViTs) have shown
very impressive empirical performance in various computer vision tasks,
and they are viewed as an important type of foundation m... | [
19488
] | Train |
37,194 | 16 | Title: Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Abstract: Weakly-supervised point cloud segmentation with extremely limited labels is highly desirable to alleviate the expensive costs of collecting densely annotated 3D points. This paper explores to apply the consis... | [
17476
] | Train |
37,195 | 24 | Title: How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study
Abstract: Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. Howeve... | [
4996,
11273,
30026,
37674,
22476,
44173,
41839,
13239,
634
] | Test |
37,196 | 16 | Title: Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Abstract: The whole slide image (WSI) classification is often formulated as a multiple instance learning (MIL) problem. Since the positive tissue is only a small fraction of the gigapixel WSI, existing MIL ... | [] | Train |
37,197 | 16 | Title: Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Abstract: nan | [] | Train |
37,198 | 16 | Title: Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
Abstract: Privacy protection in medical data is a legitimate obstacle for centralized machine learning applications. Here, we propose a client-server image segmentation system which allows for the analysis of multi-centric medical... | [] | Validation |
37,199 | 28 | Title: Hybrid NOMA for STAR-RIS Enhanced Communication
Abstract: In this paper, a hybrid non-orthogonal multiple access (NOMA) framework for the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) enhanced cell-edge communication is investigated. Specifically, one transmitted user and... | [] | Train |
37,200 | 16 | Title: Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Abstract: The ability to quickly learn a new task with minimal instruction - known as few-shot learning - is a central aspect of intelligent agents. Classical few-shot benchmarks make use of few-shot samples from a single modal... | [
9664,
14501,
13325,
32079,
25874,
6393,
37053,
44990
] | Train |
37,201 | 16 | Title: VQA with Cascade of Self- and Co-Attention Blocks
Abstract: The use of complex attention modules has improved the performance of the Visual Question Answering (VQA) task. This work aims to learn an improved multi-modal representation through dense interaction of visual and textual modalities. The proposed model ... | [] | Validation |
37,202 | 24 | Title: SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks
Abstract: Graph Neural Networks (GNNs) have demonstrated promising outcomes across various tasks, including node classification and link prediction. Despite their remarkable success in various high-impact applications,... | [] | Train |
37,203 | 4 | Title: Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
Abstract: The IoT's vulnerability to network attacks has motivated the design of intrusion detection schemes (IDS) using Machine Learning (ML), with a low computational cost for online detection but intensive offline learning. Such ID... | [
33607
] | Train |
37,204 | 31 | Title: Investigation Toward The Economic Feasibility of Personalized Medicine For Healthcare Service Providers: The Case of Bladder Cancer
Abstract: In today's complex healthcare landscape, the pursuit of delivering optimal patient care while navigating intricate economic dynamics poses a significant challenge for heal... | [
23351
] | Train |
37,205 | 24 | Title: Accelerator-Aware Training for Transducer-Based Speech Recognition
Abstract: Machine learning model weights and activations are represented in full-precision during training. This leads to performance degradation in runtime when deployed on neural network accelerator (NNA) chips, which leverage highly paralleliz... | [] | Train |
37,206 | 2 | Title: Simple Type Theory as a Clausal Theory
Abstract: We give a presentation of Simple Type Theory as a clausal rewrite system in Polarized deduction modulo. | [] | Train |
37,207 | 16 | Title: Fairness in AI Systems: Mitigating gender bias from language-vision models
Abstract: Our society is plagued by several biases, including racial biases, caste biases, and gender bias. As a matter of fact, several years ago, most of these notions were unheard of. These biases passed through generations along with ... | [] | Train |
37,208 | 23 | Title: Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration
Abstract: Prediction-oriented machine learning is becoming increasingly valuable to organizations, as it may drive applications in crucial business areas. However, decision-makers from companies across various in... | [] | Train |
37,209 | 24 | Title: Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?
Abstract: Coaxing out desired behavior from pretrained models, while avoiding undesirable ones, has redefined NLP and is reshaping how we interact with computers. What was once a scientific engineering discipl... | [
35201,
39873,
13700,
11704,
13510,
37192,
29258,
1899,
6797,
4558,
5815,
6328,
9403,
35388,
32350,
39451
] | Validation |
37,210 | 24 | Title: On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Abstract: Recently, unsupervised representation learning (URL) has improved the sample efficiency of Reinforcement Learning (RL) by pretraining a model from a large unlabeled dataset. The underlying prin... | [
20689,
17242
] | Test |
37,211 | 3 | Title: A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Abstract: With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIG... | [
28932,
45851,
28443,
6942,
41122,
39340,
27442,
8503,
35130,
35388,
22334,
3138,
30026,
30925,
14553,
27232,
13801,
29289,
1899
] | Train |
37,212 | 16 | Title: MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
Abstract: Learning from label proportions (LLP) is a promising weakly supervised learning problem. In LLP, a set of instances (bag) has label proportions, but no instance-level labels are given. LLP aims to train an instance-level classifier... | [
28275
] | Test |
37,213 | 24 | Title: Physics-informed Neural Networks approach to solve the Blasius function
Abstract: Deep learning techniques with neural networks have been used effectively in computational fluid dynamics (CFD) to obtain solutions to nonlinear differential equations. This paper presents a physics-informed neural network (PINN) ap... | [] | Train |
37,214 | 30 | Title: Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
Abstract: The conversational machine reading comprehension (CMRC) task aims to answer questions in conversations, which has been a hot research topic in recent years because of its wide applications. However, existing CMRC benchm... | [
19405
] | Train |
37,215 | 30 | Title: Do Multilingual Language Models Think Better in English?
Abstract: Translate-test is a popular technique to improve the performance of multilingual language models. This approach works by translating the input into English using an external machine translation system, and running inference over the translated in... | [
13700,
38218,
19083,
27340,
2764,
29396,
43641,
35580
] | Train |
37,216 | 22 | Title: Morpheus: Automated Safety Verification of Data-dependent Parser Combinator Programs
Abstract: Parser combinators are a well-known mechanism used for the compositional construction of parsers, and have shown to be particularly useful in writing parsers for rich grammars with data-dependencies and global state. V... | [] | Validation |
37,217 | 16 | Title: DiffMatch: Diffusion Model for Dense Matching
Abstract: The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term. While conventional techniques focused on defining hand-designed prior terms, which are difficult to formulate, recent approaches h... | [
34074,
38739,
27508,
15983
] | Validation |
37,218 | 16 | Title: CamDiff: Camouflage Image Augmentation via Diffusion Model
Abstract: The burgeoning field of camouflaged object detection (COD) seeks to identify objects that blend into their surroundings. Despite the impressive performance of recent models, we have identified a limitation in their robustness, where existing me... | [
27782,
43399,
21833,
30825,
32619,
22334
] | Test |
37,219 | 8 | Title: Dynamic Demand-Aware Link Scheduling for Reconfigurable Datacenters
Abstract: Emerging reconfigurable datacenters allow to dynamically adjust the network topology in a demand-aware manner. These datacenters rely on optical switches which can be reconfigured to provide direct connectivity between racks, in the fo... | [] | Test |
37,220 | 10 | Title: Automatic Textual Explanations of Concept Lattices
Abstract: Lattices and their order diagrams are an essential tool for communicating knowledge and insights about data. This is in particular true when applying Formal Concept Analysis. Such representations, however, are difficult to comprehend by untrained users... | [
30458
] | Test |
37,221 | 8 | Title: Dynamic Multi-time Scale User Admission and Resource Allocation for Semantic Extraction in MEC Systems
Abstract: This paper investigates the semantic extraction task-oriented dynamic multi-time scale user admission and resourceallocation in mobile edge computing (MEC) systems. Amid prevalence artifi cial intelli... | [] | Validation |
37,222 | 16 | Title: Learning Continuous Mesh Representation with Spherical Implicit Surface
Abstract: As the most common representation for 3D shapes, mesh is often stored discretely with arrays of vertices and faces. However, 3D shapes in the real world are presented continuously. In this paper, we propose to learn a continuous re... | [] | Train |
37,223 | 3 | Title: Navigating the reporting guideline environment for computational pathology: A review
Abstract: The application of new artificial intelligence (AI) discoveries is transforming healthcare research. However, the standards of reporting are variable in this still evolving field, leading to potential research waste. T... | [] | Train |
37,224 | 30 | Title: Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study
Abstract: In this study, we explore the emergence of symbols during interactions between individuals through an experimental semiotic study. Previous studies investigate how humans organize symbol systems through communica... | [] | Validation |
37,225 | 6 | Title: Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy
Abstract: Teamwork is a critical component of many academic and professional settings. In those contexts, feedback between team members is an important element to facilitate successful and sustainable teamwork. How... | [
27232,
16166,
44173,
43566,
44246,
40055,
43930
] | Train |
37,226 | 16 | Title: Perspective-aware Convolution for Monocular 3D Object Detection
Abstract: Monocular 3D object detection is a crucial and challenging task for autonomous driving vehicle, while it uses only a single camera image to infer 3D objects in the scene. To address the difficulty of predicting depth using only pictorial c... | [] | Test |
37,227 | 27 | Title: Physically Grounded Vision-Language Models for Robotic Manipulation
Abstract: Recent advances in vision-language models (VLMs) have led to improved performance on tasks such as visual question answering and image captioning. Consequently, these models are now well-positioned to reason about the physical world, p... | [
10624,
26562,
33220,
8360,
5547,
38011,
10645,
45685,
31323,
13564,
39613,
7198
] | Train |
37,228 | 30 | Title: Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents
Abstract: The realm of scientific text summarization has experienced remarkable progress due to the availability of annotated brief summaries and ample data. However, the utilization of mult... | [] | Train |
37,229 | 30 | Title: Exploring Spatial-Temporal Variations of Public Discourse on Social Media: A Case Study on the First Wave of the Coronavirus Pandemic in Italy
Abstract: This paper proposes a methodology for exploring how linguistic behaviour on social media can be used to explore societal reactions to important events such as t... | [] | Test |
37,230 | 16 | Title: Image Completion via Dual-path Cooperative Filtering
Abstract: Given the recent advances with image-generating algorithms, deep image completion methods have made significant progress. However, state-of-art methods typically provide poor cross-scene generalization, and generated masked areas often contain blurry... | [] | Validation |
37,231 | 36 | Title: A Mechanism for Participatory Budgeting With Funding Constraints and Project Interactions
Abstract: Participatory budgeting (PB) has been widely adopted and has attracted significant research efforts; however, there is a lack of mechanisms for PB which elicit project interactions, such as substitution and comple... | [
30097,
26198
] | Train |
37,232 | 30 | Title: Binarized Neural Machine Translation
Abstract: The rapid scaling of language models is motivating research using low-bitwidth quantization. In this work, we propose a novel binarization technique for Transformers applied to machine translation (BMT), the first of its kind. We identify and address the problem of ... | [
6974
] | Validation |
37,233 | 11 | Title: Learning Complex Teamwork Tasks using a Sub-task Curriculum
Abstract: Training a team to complete a complex task via multi-agent reinforcement learning can be difficult due to challenges such as policy search in a large policy space, and non-stationarity caused by mutually adapting agents. To facilitate efficien... | [] | Validation |
37,234 | 16 | Title: Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Abstract: Contrastive Language-Image Pretraining (CLIP) has demonstrated impressive zero-shot learning abilities for image understanding, yet limited effort has been made to investigate CLIP for zero-shot video r... | [
25453,
10263
] | Validation |
37,235 | 36 | Title: Settling the Distortion of Distributed Facility Location
Abstract: We study the distributed facility location problem, where a set of agents with positions on the line of real numbers are partitioned into disjoint districts, and the goal is to choose a point to satisfy certain criteria, such as optimize an objec... | [
5576,
41480,
13531,
36309
] | Train |
37,236 | 27 | Title: Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator
Abstract: This paper demonstrates the integration model-based design approaches or vehicle control, with validation in a freely available open-source simulator. Continued interest in autonomous vehicles and their deployment is driven by the... | [] | Test |
37,237 | 31 | Title: CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
Abstract: Legal case retrieval is a critical process for modern legal information systems. While recent studies have utilized pre-trained language models (PLMs) based on the general domain self-supervised pre-training paradigm to build m... | [
26643
] | Test |
37,238 | 30 | Title: LOAF-M2L: Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation
Abstract: Despite previous efforts in melody-to-lyric generation research, there is still a significant compatibility gap between generated lyrics and melodies, negatively impacting the singability of the outputs. This pap... | [
18777
] | Validation |
37,239 | 34 | Title: Distributed MIS with Low Energy and Time Complexities
Abstract: We present randomized distributed algorithms for the maximal independent set problem (MIS) that, while keeping the time complexity nearly matching the best known, reduce the energy complexity substantially. These algorithms work in the standard CONG... | [] | Train |
37,240 | 17 | Title: LinSets.zip: Compressing Linear Set Diagrams
Abstract: Linear diagrams are used to visualize set systems by depicting set memberships as horizontal line segments in a matrix, where each set is represented as a row and each element as a column. Each such line segment of a set is shown in a contiguous horizontal r... | [] | Test |
37,241 | 8 | Title: Narrowband Interference Detection via Deep Learning
Abstract: —Due to the increased usage of spectrum caused by the exponential growth of wireless devices, detecting and avoid-ing interference has become an increasingly relevant problem to ensure uninterrupted wireless communications. In this paper, we focus our... | [] | Test |
37,242 | 30 | Title: Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Abstract: Large language models, in particular generative pre-trained transformers (GPTs), show impressive results on a wide variety of language-related tasks. In this paper, we explore ChatGPT's zero-shot ability to perform affec... | [
38856,
35637
] | Test |
37,243 | 31 | Title: Réception d’une recommandation algorithmique basée sur les dispositifs de réalisation des films documentaires
Abstract: This article analyzes the reception of a novel algorithmic recommendation of documentary films by a panel of moviegoers of the T{\"e}nk platform. In order to propose an alternative to recommend... | [] | Validation |
37,244 | 36 | Title: Stackelberg Attacks on Auctions and Blockchain Transaction Fee Mechanisms
Abstract: We study an auction with $m$ identical items in a context where $n$ agents can arbitrarily commit to strategies. In general, such commitments non-trivially change the equilibria by inducing a metagame of choosing which strategies... | [
41674
] | Train |
37,245 | 16 | Title: Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Abstract: Domain generalization (DG), aiming at models able to work on multiple unseen domains, is a must-have characteristic of general artificial intelligence. DG based on single source domain training data is more challenging due... | [] | Train |
37,246 | 6 | Title: THERIF: A Pipeline for Generating Themes for Readability with Iterative Feedback
Abstract: Digital reading applications give readers the ability to customize fonts, sizes, and spacings, all of which have been shown to improve the reading experience for readers from different demographics. However, tweaking these... | [] | Validation |
37,247 | 10 | Title: The Rise and Potential of Large Language Model Based Agents: A Survey
Abstract: For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense their enviro... | [] | Train |
37,248 | 5 | Title: Bitcoin's Carbon Footprint Revisited: Proof of Work Mining for Renewable Energy Expansion
Abstract: Despite their potential in many respects, blockchain and distributed ledger technology (DLT) technology have been the target of criticism for the energy intensity of the proof-of-work (PoW) consensus algorithm in ... | [
5936
] | Train |
37,249 | 11 | Title: Mitigating Skewed Bidding for Conference Paper Assignment
Abstract: The explosion of conference paper submissions in AI and related fields, has underscored the need to improve many aspects of the peer review process, especially the matching of papers and reviewers. Recent work argues that the key to improve this... | [] | Train |
37,250 | 16 | Title: OvarNet: Towards Open-Vocabulary Object Attribute Recognition
Abstract: In this paper, we consider the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at the training stage, resembling an open-vocabulary scenario. T... | [
27144,
45006,
40497,
13078,
2782
] | Train |
37,251 | 24 | Title: SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Abstract: The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites. The multispectral imagery captured by sensors onboard these satellites is critical for a wide range of scient... | [] | Test |
37,252 | 10 | Title: Foundation Models for Decision Making: Problems, Methods, and Opportunities
Abstract: Foundation models pretrained on diverse data at scale have demonstrated extraordinary capabilities in a wide range of vision and language tasks. When such models are deployed in real world environments, they inevitably interfac... | [
29696,
27138,
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7632,
18007,
18777,
35292,
15201,
22506,
25582,
35950,
2549,
39158,
46070,
2188... | Validation |
37,253 | 8 | Title: Complexity evaluation of network configurations and abstractions
Abstract: Computer networks have been traditionally configured by humans using command-line interfaces. Some network abstractions have emerged in the last 10 years, but there is no easy way of comparing them to each other objectively. Therefore, th... | [] | Train |
37,254 | 16 | Title: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Abstract: We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation. Text-to-image diffusion models ha... | [
40960,
36611,
32261,
34950,
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32587,
39244,
40655,
39892,
44757,
19672,
13274,
35162,
13660,
26720,
17633,
42986,
... | Validation |
37,255 | 30 | Title: Conversational Ontology Alignment with ChatGPT
Abstract: This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment Evaluation Initiative 2022 campaign using conference track ontologies. Thi... | [] | Train |
37,256 | 24 | Title: PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Abstract: Dynamic Graph Neural Networks (DGNNs) have been widely applied in various real-life applications, such as link prediction and pandemic forecast, to capture both static structural information and temporal characteristics from dynamic graphs. Com... | [
42326
] | Train |
37,257 | 5 | Title: Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Abstract: One-sided dense matrix decompositions (e.g., Cholesky, LU, and QR) are the key components in scientific computing in many different fields. Although their design has been highly optimized for modern processors, ... | [] | Train |
37,258 | 16 | Title: ELFNet: Evidential Local-global Fusion for Stereo Matching
Abstract: Although existing stereo matching models have achieved continuous improvement, they often face issues related to trustworthiness due to the absence of uncertainty estimation. Additionally, effectively leveraging multi-scale and multi-view knowl... | [] | Train |
37,259 | 16 | Title: SDTracker: Synthetic Data Based Multi-Object Tracking
Abstract: We present SDTracker, a method that harnesses the potential of synthetic data for multi-object tracking of real-world scenes in a domain generalization and semi-supervised fashion. First, we use the ImageNet dataset as an auxiliary to randomize the ... | [] | Train |
37,260 | 24 | Title: Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Abstract: We study the asymptotic overfitting behavior of interpolation with minimum norm ($\ell_2$ of the weights) two-layer ReLU networks for noisy univariate regression. We show that overfitting is tempered for the $L_1$ loss, and any $L_p$ lo... | [
33646,
11563,
16694
] | Train |
37,261 | 16 | Title: MixedTeacher: Knowledge Distillation for Fast Inference Textural Anomaly Detection
Abstract: For a very long time, unsupervised learning for anomaly detection has been at the heart of image processing research and a stepping stone for high performance industrial automation process. With the emergence of CNN, sev... | [
39858
] | Train |
37,262 | 30 | Title: RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Abstract: Evaluating open-domain dialogue systems is challenging for reasons such as the one-to-many problem, i.e., many appropriate responses other than just the golden response. As of now, automatic evaluation methods need better consistency... | [
40192
] | Train |
37,263 | 30 | Title: Semi-Automated Construction of Food Composition Knowledge Base
Abstract: A food composition knowledge base, which stores the essential phyto-, micro-, and macro-nutrients of foods is useful for both research and industrial applications. Although many existing knowledge bases attempt to curate such information, t... | [] | Train |
37,264 | 5 | Title: Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
Abstract: Multi-tenancy in public clouds may lead to co-location interference on shared resources, which possibly results in performance degradation of cloud applications. Cloud providers want t... | [] | Test |
37,265 | 23 | Title: Cornet: Learning Spreadsheet Formatting Rules by Example
Abstract:
Data management and analysis tasks are often carried out using spreadsheet software. A popular feature in most spreadsheet platforms is the ability to define data-dependent formatting rules. These rules can express actions such as
"color red a... | [] | Validation |
37,266 | 10 | Title: Empirical Investigation of Neural Symbolic Reasoning Strategies
Abstract: Neural reasoning accuracy improves when generating intermediate reasoning steps. However, the source of this improvement is yet unclear.Here, we investigate and factorize the benefit of generating intermediate steps for symbolic reasoning.... | [] | Train |
37,267 | 30 | Title: Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online Domains
Abstract: Our research introduces an innovative Natural Language Generation (NLG) approach that aims to optimize user experience and alleviate the workload of human customer support agents. Our primary objective is to gen... | [
43602
] | Train |
37,268 | 5 | Title: Parallel Batched Interpolation Search Tree
Abstract: Ordered set (and map) is one of the most used data type. In addition to standard set operations, like insert, delete and contains, it can provide set-set operations such as union, intersection, and difference. Each of these set-set operations is equivalent to ... | [] | Train |
37,269 | 16 | Title: Efficient Vision Transformer for Human Pose Estimation via Patch Selection
Abstract: While Convolutional Neural Networks (CNNs) have been widely successful in 2D human pose estimation, Vision Transformers (ViTs) have emerged as a promising alternative to CNNs, boosting state-of-the-art performance. However, the ... | [] | Train |
37,270 | 10 | Title: Enhanced Iterated local search for the technician routing and scheduling problem
Abstract: Most public facilities in the European countries, including France, Germany, and the UK, were built during the reconstruction projects between 1950 and 1980. Owing to the deteriorating state of such vital infrastructure ha... | [] | Train |
37,271 | 10 | Title: Abstract Visual Reasoning Enabled by Language
Abstract: While artificial intelligence (AI) models have achieved human or even superhuman performance in many well-defined applications, they still struggle to show signs of broad and flexible intelligence. The Abstraction and Reasoning Corpus (ARC), a visual intell... | [
30484
] | Validation |
37,272 | 10 | Title: Value-based Fast and Slow AI Nudging
Abstract: Nudging is a behavioral strategy aimed at influencing people's thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techniques can targeted at human fast and unconscious thinking, e.g., by using images to gen... | [] | Train |
37,273 | 39 | Title: A Hall-type theorem with algorithmic consequences in planar graphs
Abstract: Given a graph $G=(V,E)$, for a vertex set $S\subseteq V$, let $N(S)$ denote the set of vertices in $V$ that have a neighbor in $S$. Extending the concept of binding number of graphs by Woodall~(1973), for a vertex set $X \subseteq V$, w... | [] | Train |
37,274 | 37 | Title: High-Throughput Vector Similarity Search in Knowledge Graphs
Abstract: There is an increasing adoption of machine learning for encoding data into vectors to serve online recommendation and search use cases. As a result, recent data management systems propose augmenting query processing with online vector similar... | [] | Train |
37,275 | 30 | Title: Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation
Abstract: Large-scale pre-trained language models (PLMs) have shown great potential in natural language processing tasks. Leveraging the capabilities of PLMs to enhance automatic speech recognition (... | [
19225,
41106
] | Validation |
37,276 | 15 | Title: Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations
Abstract: Many scientific computing problems can be reduced to Matrix-Matrix Multiplications (MMM), making the General Matrix Multiply (GEMM) kernels in the Basic Linear Algebra Subroutine (BLAS) of interest to the high-perform... | [] | Train |
37,277 | 30 | Title: CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Abstract: The task of zero-shot commonsense question answering evaluates models on their capacity to reason about general scenarios beyond those presented in specific datasets. Existing approaches for tackling this task levera... | [
12128,
14881,
35580,
38886,
28140,
6061,
34892,
15836
] | Test |
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