node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
45,078 | 16 | Title: GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement
Abstract: High-resolution multi-modality information acquired by vision-based tactile sensors can support more dexterous manipulations for robot fingers. Optical flow is low-level information directly obtai... | [] | Train |
45,079 | 30 | Title: Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature
Abstract: We demonstrate the potential of the state-of-the-art OpenAI GPT-4 large language model to engage in meaningful interactions with Astronomy papers using in-context prompting. To optimize for efficiency, we employ a dist... | [
43812,
13510
] | Train |
45,080 | 16 | Title: Augmenting CLIP with Improved Visio-Linguistic Reasoning
Abstract: Image-text contrastive models such as CLIP are useful for a variety of downstream applications including zero-shot classification, image-text retrieval and transfer learning. However, these contrastively trained vision-language models often fail ... | [
40863,
37254,
3015,
33287,
8234,
31352,
30737,
17851,
25368,
3067,
35327
] | Validation |
45,081 | 23 | Title: The complexity paradox: An analysis of modeling education through the lens of complexity science
Abstract: Modeling seeks to tame complexity during software development, by supporting design, analysis, and stakeholder communication. Paradoxically, experiences made by educators indicate that students often percei... | [] | Train |
45,082 | 16 | Title: MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
Abstract: Estimating 3D human poses only from a 2D human pose sequence is thoroughly explored in recent years. Yet, prior to this, no such work has attempted to unify 2D and 3D pose representations in the shared feature space. In this paper,... | [
24689,
29049
] | Validation |
45,083 | 16 | Title: RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model
Abstract: The performance of perception systems developed for autonomous driving vehicles has seen significant improvements over the last few years. This improvement was associated with the increasing use of LiDAR sensors and point clou... | [
32995,
21213
] | Validation |
45,084 | 16 | Title: ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval
Abstract: nan | [] | Test |
45,085 | 5 | Title: Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service
Abstract: This paper presents a solution to the challenge of mitigating carbon emissions from hosting large-scale machine learning (ML) inference services. ML inference is critical to modern technology products, but it is also a s... | [] | Train |
45,086 | 22 | Title: Black Boxes, White Noise: Similarity Detection for Neural Functions
Abstract: Similarity, or clone, detection has important applications in copyright violation, software theft, code search, and the detection of malicious components. There is now a good number of open source and proprietary clone detectors for pr... | [] | Train |
45,087 | 16 | Title: VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
Abstract: 3D object detectors usually rely on hand-crafted proxies, e.g., anchors or centers, and translate well-studied 2D frameworks to 3D. Thus, sparse voxel features need to be densified and processed by dense prediction heads, which inevi... | [
21381,
45579,
14743,
11551,
30113,
15524,
12581,
2214,
35754,
36523,
45999,
23089,
35263,
17488,
21853,
40674,
32995,
18283,
45439
] | Train |
45,088 | 5 | Title: ZePoP: A Distributed Leader Election Protocol using the Delay-based Closeness Centrality for Peer-to-Peer Applications
Abstract: This paper presents ZePoP, a leader election protocol for distributed systems, optimizing a delay-based closeness centrality. We design the protocol specifically for the Peer to Peer(P... | [] | Test |
45,089 | 16 | Title: Density-invariant Features for Distant Point Cloud Registration
Abstract: Registration of distant outdoor LiDAR point clouds is crucial to extending the 3D vision of collaborative autonomous vehicles, and yet is challenging due to small overlapping area and a huge disparity between observed point densities. In t... | [] | Train |
45,090 | 24 | Title: Alzheimers Disease Diagnosis using Machine Learning: A Review
Abstract: Alzheimers Disease AD is an acute neuro disease that degenerates the brain cells and thus leads to memory loss progressively. It is a fatal brain disease that mostly affects the elderly. It steers the decline of cognitive and biological func... | [] | Test |
45,091 | 24 | Title: Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
Abstract: In the context of mobile sensing environments, various sensors on mobile devices continually generate a vast amount of data. Analyzing this ever-increasing data presents several challenges, including limited acce... | [] | Validation |
45,092 | 5 | Title: Feature-based SpMV Performance Analysis on Contemporary Devices
Abstract: The SpMV kernel is characterized by high performance variation per input matrix and computing platform. While GPUs were considered State-of-the-Art for SpMV, with the emergence of advanced multicore CPUs and low-power FPGA accelerators, we... | [] | Train |
45,093 | 24 | Title: Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs
Abstract: Deep learning often faces the challenge of efficiently processing dynamic inputs, such as sensor data or user inputs. For example, an AI writing assistant is required to update its suggestions in real time as a document is... | [
36993
] | Validation |
45,094 | 26 | Title: Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Abstract: Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changing dynamic graphs in practice. Ex... | [] | Test |
45,095 | 16 | Title: Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training
Abstract: Fine-grained supervision based on object annotations has been widely used for vision and language pre-training (VLP). However, in real-world application scenarios, aligned multi-modal data is usually in the image-caption format,... | [] | Train |
45,096 | 30 | Title: Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
Abstract: Recent advances in QA pair generation (QAG) have raised interest in applying this technique to the educational field. However, the diversity of QA types remains a challenge despite its contributions to comprehensive ... | [] | Train |
45,097 | 26 | Title: Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
Abstract: Human beings adapt their language to the audience they interact with. To study the impact of audience and gender in a natural setting, we choose a domain where gender plays a particularly salient role: ... | [] | Validation |
45,098 | 4 | Title: Resilient Consensus Sustained Collaboratively
Abstract: The recent growth of blockchain technology has accelerated research on decentralized platforms. Initial blockchain platforms decide on what should be added to the ledger based on Proof-of-Work (PoW) consensus protocol. PoW requires its participants to perfo... | [] | Test |
45,099 | 4 | Title: Introducing and Interfacing with Cybersecurity - A Cards Approach
Abstract: Cybersecurity is an important topic which is often viewed as one that is inaccessible due to steep learning curves and a perceived requirement of needing specialist knowledge. With a constantly changing threat landscape, practical soluti... | [] | Train |
45,100 | 6 | Title: AmicroN: A Framework for Generating Annotations for Human Activity Recognition with Granular Micro-Activities
Abstract: Efficient human activity recognition (HAR) using sensor data needs a significant volume of annotated data. The growing volume of unlabelled sensor data has challenged conventional practices for... | [
32989
] | Train |
45,101 | 28 | Title: Single-Server Pliable Private Information Retrieval With Side Information
Abstract: We study the problem of pliable private information retrieval with side information (PPIR-SI) for the single server case. In PPIR, the messages are partitioned into nonoverlapping classes and stored in a number of noncolluding da... | [] | Train |
45,102 | 24 | Title: Analysis of Interpolating Regression Models and the Double Descent Phenomenon
Abstract: A regression model with more parameters than data points in the training data is overparametrized and has the capability to interpolate the training data. Based on the classical bias-variance tradeoff expressions, it is commo... | [] | Validation |
45,103 | 27 | Title: Maximum Consensus Localization using an Objective Function based on Helmert's Point Error
Abstract: Ego-localization is a crucial task for autonomous vehicles. On the one hand, it needs to be very accurate, and on the other hand, very robust to provide reliable pose (position and orientation) information, even i... | [] | Train |
45,104 | 4 | Title: Extracting Training Data from Diffusion Models
Abstract: Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted significant attention due to their ability to generate high-quality synthetic images. In this work, we show that diffusion models memorize individual images from their tra... | [
27138,
15378,
45593,
9244,
36383,
18980,
549,
45606,
17449,
15921,
30261,
45631,
8264,
1609,
12888,
42586,
35935,
21609,
30320,
7282,
29299,
8308,
46196,
2168,
4738,
40586,
44173,
23184,
44177,
1688,
23196,
33950,
32928,
37537,
27301,
25267,
18... | Test |
45,105 | 24 | Title: SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Abstract: Machine Learning (ML) systems are vulnerable to adversarial examples, particularly those from query-based black-box attacks. Despite various efforts to detect and prevent such attacks, there is a need for a more comprehensive ... | [
33414,
3885,
26958,
43418,
32410
] | Test |
45,106 | 13 | Title: Calculating lexicase selection probabilities is NP-Hard
Abstract: Lexicase selection is a state-of-the-art parent selection algorithm in evolutionary computation. Recently, there have been efforts to develop stronger theoretical analyses of lexicase selection. Many of these analysis hinge on calculating the prob... | [
12818,
30455
] | Train |
45,107 | 24 | Title: Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Abstract: Neural collapse describes the geometry of activation in the final layer of a deep neural network when it is trained beyond performance plateaus. Open questions include whether neural collapse... | [] | Train |
45,108 | 24 | Title: Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories
Abstract: Accurately monitoring road traffic state and speed is crucial for various applications, including travel time prediction, traffic control, and traffic safety. However, the lack of sensors often results in incomplete ... | [] | Train |
45,109 | 6 | Title: Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia
Abstract: ChatGPT is a natural language processing tool that can engage in human-like conversations and generate coherent and contextually relevant responses to various prompts. ChatG... | [] | Train |
45,110 | 9 | Title: On the Computational Complexity of Ethics: Moral Tractability for Minds and Machines
Abstract: Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains ... | [] | Test |
45,111 | 24 | Title: General regularization in covariate shift adaptation
Abstract: Sample reweighting is one of the most widely used methods for correcting the error of least squares learning algorithms in reproducing kernel Hilbert spaces (RKHS), that is caused by future data distributions that are different from the training data... | [] | Train |
45,112 | 7 | Title: Method of Exact Solutions Code Verification of a Superelastic Constitutive Model in a Commercial Finite Element Solver
Abstract: The superelastic constitutive model implemented in the commercial finite element code ABAQUS is verified using the method of exact solutions (MES). An analytical solution for uniaxial ... | [] | Train |
45,113 | 30 | Title: MD3: The Multi-Dialect Dataset of Dialogues
Abstract: We introduce a new dataset of conversational speech representing English from India, Nigeria, and the United States. The Multi-Dialect Dataset of Dialogues (MD3) strikes a new balance between open-ended conversational speech and task-oriented dialogue by prom... | [] | Train |
45,114 | 24 | Title: Robust Ante-hoc Graph Explainer using Bilevel Optimization
Abstract: Explaining the decisions made by machine learning models for high-stakes applications is critical for increasing transparency and guiding improvements to these decisions. This is particularly true in the case of models for graphs, where decisio... | [
12943
] | Train |
45,115 | 30 | Title: Getting pwn'd by AI: Penetration Testing with Large Language Models
Abstract: The field of software security testing, more specifically penetration testing, is an activity that requires high levels of expertise and involves many manual testing and analysis steps. This paper explores the potential usage of large-... | [
16556,
9518,
27282,
15993,
32765
] | Train |
45,116 | 24 | Title: Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
Abstract: In the growing domain of scientific machine learning, in-context operator learning has demonstrated notable potential in learning operators from prompted data during inference stage without weight updates. However,... | [
10624,
37987,
37765,
3398,
42983,
1644,
41104,
27282,
7833,
13564,
30745
] | Train |
45,117 | 31 | Title: Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
Abstract: Conversational recommender system (CRS) interacts with users through multi-turn dialogues in natural language, which aims to provide high-quality recommendations for user's instant information need. Although great efforts have... | [
22465,
8607
] | Train |
45,118 | 37 | Title: The Complexity of Why-Provenance for Datalog Queries
Abstract: Explaining why a database query result is obtained is an essential task towards the goal of Explainable AI, especially nowadays where expressive database query languages such as Datalog play a critical role in the development of ontology-based applic... | [] | Validation |
45,119 | 13 | Title: Some Experiences with Hybrid Genetic Algorithms in Solving the Uncapacitated Examination Timetabling Problem
Abstract: This paper provides experimental experiences on two local search hybridized genetic algorithms in solving the uncapacitated examination timetabling problem. The proposed two hybrid algorithms us... | [] | Train |
45,120 | 16 | Title: Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Abstract: Pedestrian Attribute Recognition (PAR) deals with the problem of identifying features in a pedestrian image. It has found interesting applications in person retrieval, suspect re-identification and soft biometrics. In the past... | [] | Train |
45,121 | 4 | Title: Zero-Day Threats Detection for Critical Infrastructures
Abstract: Technological advancements in various industries, such as network intelligence, vehicle networks, e-commerce, the Internet of Things (IoT), ubiquitous computing, and cloud-based applications, have led to an exponential increase in the volume of in... | [
8096,
41154,
21347,
24681,
38193
] | Train |
45,122 | 17 | Title: Animating human athletics
Abstract: This paper describes algorithms for the animation of male and female models performing three dynamic athletic behaviors: running, bicycling, and vaulting. We animate these behaviors using control algorithms that cause a physically realistic model to perform the desired maneuve... | [
15521,
35553,
25672,
40788,
33371,
36223
] | Train |
45,123 | 10 | Title: Data-driven Knowledge Fusion for Deep Multi-instance Learning
Abstract: Multi-instance learning (MIL) is a widely-applied technique in practical applications that involve complex data structures. MIL can be broadly categorized into two types: traditional methods and those based on deep learning. These approaches... | [] | Train |
45,124 | 24 | Title: Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Abstract: Conventionally, federated learning aims to optimize a single objective, typically the utility. However, for a federated learning system to be trustworthy, it needs to simultaneously satisfy multiple/many object... | [
17746,
43007
] | Test |
45,125 | 26 | Title: OVNS: Opportunistic Variable Neighborhood Search for Heaviest Subgraph Problem in Social Networks
Abstract: We propose a hybrid heuristic algorithm for solving the Heaviest k-Subgraph Problem in online social networks -- a combinatorial graph optimization problem central to many important applications in weighte... | [] | Validation |
45,126 | 28 | Title: A Superdirective Beamforming Approach with Impedance Coupling and Field Coupling for Compact Antenna Arrays
Abstract: In most multiple-input multiple-output (MIMO) communication systems, the antenna spacing is generally no less than half a wavelength. It helps to reduce the mutual coupling and therefore facilita... | [
35490,
9837
] | Train |
45,127 | 25 | Title: ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings
Abstract: We propose ChatGPT-EDSS, an empathetic dialogue speech synthesis (EDSS) method using ChatGPT for extracting dialogue context. ChatGPT is a chatbot that can deeply understand the content and purpose o... | [
12128,
16827,
36528,
45847
] | Train |
45,128 | 24 | Title: An evaluation of time series forecasting models on water consumption data: A case study of Greece
Abstract: In recent years, the increased urbanization and industrialization has led to a rising water demand and resources, thus increasing the gap between demand and supply. Proper water distribution and forecastin... | [] | Train |
45,129 | 24 | Title: UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Abstract: Deep learning models have shown great promise in various healthcare monitoring applications. However, most healthcare datasets with high-quality (gold-standard) la... | [] | Test |
45,130 | 2 | Title: E-unification for Second-Order Abstract Syntax
Abstract: Higher-order unification (HOU) concerns unification of (extensions of) $\lambda$-calculus and can be seen as an instance of equational unification ($E$-unification) modulo $\beta\eta$-equivalence of $\lambda$-terms. We study equational unification of terms... | [] | Train |
45,131 | 10 | Title: Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis
Abstract: Large Language Models (LLMs) have garnered considerable interest within both academic and industrial. Yet, the application of LLMs to graph data remains under-explored. In this study, we evaluate the capabilities ... | [
40192,
13700,
33220,
13510,
18439,
13224,
43718,
1292,
31215,
9841,
23252,
12602,
35580,
23805
] | Train |
45,132 | 28 | Title: Statistical Age-of-Information Bounds for Parallel Systems: When Do Independent Channels Make a Difference?
Abstract: This paper contributes tail bounds of the age-of-information of a general class of parallel systems and explores their potential. Parallel systems arise in relevant cases, such as in multi-band m... | [] | Train |
45,133 | 30 | Title: How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification
Abstract: Text simplification rewrites text to be more readable for a specific audience, while preserving its meaning. However, determining what makes a text easy to read depends on who are t... | [
11723
] | Validation |
45,134 | 10 | Title: Construction Grammar and Artificial Intelligence
Abstract: In this chapter, we argue that it is highly beneficial for the contemporary construction grammarian to have a thorough understanding of the strong relationship between the research fields of construction grammar and artificial intelligence. We start by u... | [] | Train |
45,135 | 24 | Title: Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes
Abstract: This study presents a machine learning (ML) pipeline for clinical data classification in the context of a 30-day readmission problem, along with a fairness audit on subgroups based on sensitive att... | [
27146
] | Train |
45,136 | 6 | Title: Ambient Intelligence for Next-Generation AR
Abstract: Next-generation augmented reality (AR) promises a high degree of context-awareness - a detailed knowledge of the environmental, user, social and system conditions in which an AR experience takes place. This will facilitate both the closer integration of the r... | [] | Train |
45,137 | 16 | Title: Local Contrastive Learning for Medical Image Recognition
Abstract: The proliferation of Deep Learning (DL)-based methods for radiographic image analysis has created a great demand for expert-labeled radiology data. Recent self-supervised frameworks have alleviated the need for expert labeling by obtaining superv... | [
8047
] | Validation |
45,138 | 30 | Title: Chinese Fine-Grained Financial Sentiment Analysis with Large Language Models
Abstract: Entity-level fine-grained sentiment analysis in the financial domain is a crucial subtask of sentiment analysis and currently faces numerous challenges. The primary challenge stems from the lack of high-quality and large-scale... | [
13700,
44361,
21739,
24308,
2426,
11614
] | Train |
45,139 | 16 | Title: Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
Abstract: Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic Tensor Networks (LTNs) allow to in... | [] | Validation |
45,140 | 8 | Title: QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization
Abstract: This paper is concerned with the issue of improving video subscribers' quality of experience (QoE) by deploying a multi-unmanned aerial vehicle (UAV) network. Different from existing works, we characterize subscribers' QoE b... | [] | Validation |
45,141 | 24 | Title: Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Abstract: Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotric biometric identification.... | [
30177
] | Train |
45,142 | 24 | Title: Efficient Beam Tree Recursion
Abstract: Beam Tree Recursive Neural Network (BT-RvNN) was recently proposed as a simple extension of Gumbel Tree RvNN and it was shown to achieve state-of-the-art length generalization performance in ListOps while maintaining comparable performance on other tasks. However, although... | [
43201,
17503
] | Test |
45,143 | 24 | Title: Forgettable Federated Linear Learning with Certified Data Removal
Abstract: Federated learning (FL) is a trending distributed learning framework that enables collaborative model training without data sharing. Machine learning models trained on datasets can potentially expose the private information of the traini... | [
43039
] | Test |
45,144 | 31 | Title: ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
Abstract: In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately determining user preferences. Previ... | [] | Train |
45,145 | 21 | Title: A Survey of Process-Oriented Data Science and Analytics for supporting Business Process Management
Abstract: Process analytics approaches allow organizations to support the practice of Business Process Management and continuous improvement by leveraging all process-related data to extract knowledge, improve proc... | [] | Train |
45,146 | 24 | Title: DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
Abstract: Communication scheduling has been shown to be effective in accelerating distributed training, which enables all-reduce communications to be overlapped with backpropagation computations. This has been commonly adopted i... | [] | Train |
45,147 | 30 | Title: Is a Prestigious Job the same as a Prestigious Country? A Case Study on Multilingual Sentence Embeddings and European Countries
Abstract: We study how multilingual sentence representations capture European countries and how this differs across European languages. We prompt the models with templated sentences tha... | [
12067
] | Train |
45,148 | 10 | Title: Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
Abstract: The abstract visual reasoning ability in human intelligence benefits discovering underlying rules in the novel environment. Raven's Progressive Matrix (RPM) is a classic test to realize such ability in machine intelligen... | [] | Validation |
45,149 | 5 | Title: HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms
Abstract: —Binarized Neural Networks (BNNs) significantly reduce the computation and memory demands with binarized weights and activations compared to full-precision NNs. Execut- ing a layer in ... | [] | Train |
45,150 | 24 | Title: Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features
Abstract: Automated detection of defects in Printed Circuit Board (PCB) manufacturing using Solder Paste Inspection (SPI) and Automated Optical Inspection (AOI) machines can help improve operational effi... | [] | Train |
45,151 | 16 | Title: CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution
Abstract: The success of Vision Transformer (ViT) has been widely reported on a wide range of image recognition tasks. The merit of ViT over CNN has been largely attributed to large training datasets or auxiliary pre-training. Without pre... | [
22757
] | Validation |
45,152 | 3 | Title: Proactive and reactive engagement of artificial intelligence methods for education: a review
Abstract: The education sector has benefited enormously through integrating digital technology driven tools and platforms. In recent years, artificial intelligence based methods are being considered as the next generatio... | [] | Test |
45,153 | 16 | Title: KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
Abstract: Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and quantization errors. Throu... | [
1635,
25453,
14226,
1723,
8253
] | Train |
45,154 | 24 | Title: Improving Open-Set Semi-Supervised Learning with Self-Supervision
Abstract: Open-set semi-supervised learning (OSSL) is a realistic setting of semi-supervised learning where the unlabeled training set contains classes that are not present in the labeled set. Many existing OSSL methods assume that these out-of-di... | [] | Train |
45,155 | 16 | Title: Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
Abstract: We propose Encyclopedic-VQA, a large scale visual question answering (VQA) dataset featuring visual questions about detailed properties of fine-grained categories and instances. It contains 221k unique question+answ... | [
27964
] | Test |
45,156 | 24 | Title: Easy attention: A simple self-attention mechanism for Transformers
Abstract: To improve the robustness of transformer neural networks used for temporal-dynamics prediction of chaotic systems, we propose a novel attention mechanism called easy attention. Due to the fact that self attention only makes usage of the... | [
12753
] | Validation |
45,157 | 28 | Title: A Fast and Provable Algorithm for Sparse Phase Retrieval
Abstract: We study the sparse phase retrieval problem, which aims to recover a sparse signal from a limited number of phaseless measurements. Existing algorithms for sparse phase retrieval primarily rely on first-order methods with linear convergence rate.... | [] | Test |
45,158 | 24 | Title: Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation
Abstract: Traditional revenue management relies on long and stable historical data and predictable demand patterns. However, meeting those requirements is not always possible. Many industries face demand volatility on ... | [] | Train |
45,159 | 16 | Title: GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching
Abstract: Traditional image stitching focuses on a single panorama frame without considering the spatial-temporal consistency in videos. The straightforward image stitching approach will cause temporal flicking and color inconstancy... | [] | Train |
45,160 | 30 | Title: Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
Abstract: The emergent few-shot reasoning capabilities of Large Language Models (LLMs) have excited the natural language and machine learning community over recent years. Despite of numerous successful applications, the underl... | [
16837,
7239,
38551,
13495,
6744
] | Test |
45,161 | 38 | Title: Capturing Stability of Information Needs in Digital Libraries
Abstract: Scientific digital libraries provide users access to large amounts of data to satisfy their diverse information needs. Factors influencing users' decisions on the relevancy of a publication or a person are individual and usually only visible... | [] | Train |
45,162 | 16 | Title: Deep Monocular Hazard Detection for Safe Small Body Landing
Abstract: Hazard detection and avoidance is a key technology for future robotic small body sample return and lander missions. Current state-of-the-practice methods rely on high-fidelity, a priori terrain maps, which require extensive human-in-the-loop v... | [] | Train |
45,163 | 24 | Title: Icospherical Chemical Objects (ICOs) allow for chemical data augmentation and maintain rotational, translation and permutation invariance
Abstract: Dataset augmentation is a common way to deal with small datasets; Chemistry datasets are often small. Spherical convolutional neural networks (SphNNs) and Icosahedra... | [] | Validation |
45,164 | 4 | Title: Sync+Sync: A Covert Channel Built on fsync with Storage
Abstract: Scientists have built a variety of covert channels for secretive information transmission with CPU cache and main memory. In this paper, we turn to a lower level in the memory hierarchy, i.e., persistent storage. Most programs store intermediate o... | [] | Train |
45,165 | 6 | Title: BalanceVR: VR based Balance Training to Increase Tolerance to VR Sickness
Abstract: Virtual reality or cyber-sickness is a serious usability problem. Postural (or balance) instability theory has emerged as one of the primary hypotheses for the cause of VR sickness. In this paper, we conducted a two-week-long exp... | [] | Train |
45,166 | 16 | Title: DreamEdit: Subject-driven Image Editing
Abstract: Subject-driven image generation aims at generating images containing customized subjects, which has recently drawn enormous attention from the research community. However, the previous works cannot precisely control the background and position of the target subje... | [
41146,
18205,
31109,
16103
] | Train |
45,167 | 6 | Title: Murder by design: Design thinking approach for pre-emptive cybernetic security design
Abstract: In an ever more connected world, awareness has grown towards the hazards and vulnerabilities that the networking on sensitive digitized information pose for all parties involved. This vulnerability rests in a number o... | [] | Train |
45,168 | 24 | Title: A Review of Change of Variable Formulas for Generative Modeling
Abstract: Change-of-variables (CoV) formulas allow to reduce complicated probability densities to simpler ones by a learned transformation with tractable Jacobian determinant. They are thus powerful tools for maximum-likelihood learning, Bayesian in... | [
11371,
1963,
24045,
13781,
36730
] | Validation |
45,169 | 2 | Title: Expressiveness Results for an Inductive Logic of Separated Relations
Abstract: In this paper we study a Separation Logic of Relations (SLR) and compare its expressiveness to (Monadic)Second Order Logic (M)SO. SLR is based on the well-known Symbolic Heap fragment of Separation Logic, whose formulae are composed o... | [] | Train |
45,170 | 36 | Title: Stable Dinner Party Seating Arrangements
Abstract: A group of $n$ agents with numerical preferences for each other are to be assigned to the $n$ seats of a dining table. We study two natural topologies: circular (cycle) tables and panel (path) tables. For a given seating arrangement, an agent's utility is the su... | [] | Train |
45,171 | 16 | Title: TSANET: Temporal and Scale Alignment for Unsupervised Video Object Segmentation
Abstract: Unsupervised Video Object Segmentation (UVOS) refers to the challenging task of segmenting the prominent object in videos without manual guidance. In other words, the network detects the accurate region of the target object... | [] | Train |
45,172 | 24 | Title: Task-Equivariant Graph Few-shot Learning
Abstract: Although Graph Neural Networks (GNNs) have been successful in node classification tasks, their performance heavily relies on the availability of a sufficient number of labeled nodes per class. In real-world situations, not all classes have many labeled nodes and... | [] | Train |
45,173 | 24 | Title: A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I
Abstract: Physics informed neural networks (PINNs) have emerged as a powerful tool to provide robust and accurate approximations of solutions to partial differential equations (PDEs). However, PINNs face serious difficulties ... | [] | Validation |
45,174 | 6 | Title: Exploring outlooks towards generative AI-based assistive technologies for people with Autism
Abstract: The last few years have significantly increased global interest in generative artificial intelligence. Deepfakes, which are synthetically created videos, emerged as an application of generative artificial intel... | [
32352
] | Train |
45,175 | 16 | Title: How can objects help action recognition?
Abstract: Current state-of-the-art video models process a video clip as a long sequence of spatio-temporal tokens. However, they do not explicitly model objects, their interactions across the video, and instead process all the tokens in the video. In this paper, we invest... | [] | Validation |
45,176 | 25 | Title: Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation
Abstract: Despite advances in deep learning, current state-of-the-art speech emotion recognition (SER) systems still have poor performance due to a lack of speech emotion datasets. This paper proposes aug... | [
40765,
1870
] | Test |
45,177 | 31 | Title: Diffusion Recommender Model
Abstract: Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions. However, they suffer from intrinsic limitations such as the instability of GANs and the restricted ... | [
45634,
17941
] | Validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.