Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
21,378	30	Title: Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks Abstract: Research on automated text summarization relies heavily on human and automatic evaluation. While recent work on human evaluation mainly adopted intrinsic evaluation methods, judging the generic quality of text...	[]	Train
21,379	23	Title: Improving Spectrum-Based Localization of Multiple Faults by Iterative Test Suite Reduction Abstract: Spectrum-based fault localization (SBFL) works well for single-fault programs but its accuracy decays for increasing fault numbers. We present FLITSR (Fault Localization by Iterative Test Suite Reduction), a nove...	[ 33210 ]	Train
21,380	30	Title: Text revision in Scientific Writing Assistance: An Overview Abstract: Writing a scientific article is a challenging task as it is a highly codified genre. Good writing skills are essential to properly convey ideas and results of research work. Since the majority of scientific articles are currently written in En...	[]	Validation
21,381	16	Title: Far3D: Expanding the Horizon for Surround-view 3D Object Detection Abstract: Recently 3D object detection from surround-view images has made notable advancements with its low deployment cost. However, most works have primarily focused on close perception range while leaving long-range detection less explored. Ex...	[ 15489, 45474, 32611, 18283, 34098, 45087 ]	Train
21,382	37	Title: Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information Abstract: Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal patterns from these time series. T...	[]	Train
21,383	23	Title: To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration Abstract: With the increasing popularity of cryptocurrencies and blockchain technology, smart contracts have become a prominent feature in developing decentralized applications. However, these smart contracts are susceptible...	[]	Train
21,384	27	Title: Safe motion planning with environment uncertainty Abstract: nan	[]	Test
21,385	28	Title: Amplitude Prediction from Uplink to Downlink CSI against Receiver Distortion in FDD Systems Abstract: nan	[]	Train
21,386	16	Title: Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Abstract: The vulnerability in the algorithm supply chain of deep learning has imposed new challenges to image retrieval systems in the downstream. Among a variety of techniques, deep hashing is gaining popularity. As it inherits the algor...	[]	Train
21,387	27	Title: Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores Abstract: Interactive reinforcement learning has shown promise in learning complex robotic tasks. However, the process can be human-intensive due to the requirement of a large amount of interactive feedback. This ...	[]	Train
21,388	24	Title: Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues Abstract: As the issue of robustness in AI systems becomes vital, statistical learning techniques that are reliable even in presence of partly contaminated data have to be developed. Preference data, in the form of (compl...	[]	Train
21,389	24	Title: Simplifying Subgraph Representation Learning for Scalable Link Prediction Abstract: Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art pe...	[ 32675, 18631 ]	Test
21,390	2	Title: Context-Aided Variable Elimination for Requirement Engineering Abstract: Deriving system-level specifications from component specifications usually involves the elimination of variables that are not part of the interface of the top-level system. This paper presents algorithms for eliminating variables from formu...	[]	Validation
21,391	24	Title: Learning Disentangled Discrete Representations Abstract: Recent successes in image generation, model-based reinforcement learning, and text-to-image generation have demonstrated the empirical advantages of discrete latent representations, although the reasons behind their benefits remain unclear. We explore the ...	[ 22816, 29323 ]	Train
21,392	5	Title: SymED: Adaptive and Online Symbolic Representation of Data on the Edge Abstract: nan	[]	Train
21,393	10	Title: Case Studies on X-Ray Imaging, MRI and Nuclear Imaging Abstract: The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body. These images provide vital information for clinical diagnosis, and i...	[]	Train
21,394	5	Title: FedMultimodal: A Benchmark for Multimodal Federated Learning Abstract: Over the past few years, Federated Learning (FL) has become an emerging machine learning technique to tackle data privacy challenges through collaborative training. In the Federated Learning algorithm, the clients submit a locally trained mod...	[ 21857 ]	Train
21,395	34	Title: Distribution Testing Under the Parity Trace Abstract: Distribution testing is a fundamental statistical task with many applications, but we are interested in a variety of problems where systematic mislabelings of the sample prevent us from applying the existing theory. To apply distribution testing to these prob...	[]	Test
21,396	31	Title: Looks Can Be Deceiving: Linking User-Item Interactions and User’s Propensity Towards Multi-Objective Recommendations Abstract: Multi-objective recommender systems (MORS) provide suggestions to users according to multiple (and possibly conflicting) goals. When a system optimizes its results at the individual-user...	[]	Test
21,397	1	Title: JPEG steganalysis based on steganographic feature enhancement and graph attention learning Abstract: Abstract. The purpose of image steganalysis is to determine whether the carrier image contains hidden information or not. Since JPEG is the most commonly used image format over social networks, steganalysis in JP...	[]	Validation
21,398	24	Title: Estimation Beyond Data Reweighting: Kernel Method of Moments Abstract: Moment restrictions and their conditional counterparts emerge in many areas of machine learning and statistics ranging from causal inference to reinforcement learning. Estimators for these tasks, generally called methods of moments, include t...	[]	Train
21,399	16	Title: Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Abstract: Recent research has shown that Deep Neural Networks (DNNs) are highly vulnerable to adversarial samples, which are highly transferable and can be used to attack other unknown black-box models. To improve the transferabil...	[ 35899 ]	Test
21,400	16	Title: LoCoNet: Long-Short Context Network for Active Speaker Detection Abstract: Active Speaker Detection (ASD) aims to identify who is speaking in each frame of a video. ASD reasons from audio and visual information from two contexts: long-term intra-speaker context and short-term inter-speaker context. Long-term int...	[ 10443, 8854 ]	Train
21,401	10	Title: Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks Abstract: Intuitive psychology is a pillar of common-sense reasoning. The replication of this reasoning in machine intelligence is an important stepping-stone on the way to human-like artificial intelligence. Several recent tasks and bench...	[ 19720, 37522, 10900, 17173, 30356, 9892, 2475, 10923, 36528, 19252, 13882, 16837, 43593, 33363, 5975, 21724, 39778, 10981, 19305, 5355, 34545, 41848, 13305 ]	Validation
21,402	6	Title: Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention Abstract: While emotion and mood interchangeably used, they differ in terms of duration, intensity and attributes. Even as multiple psychology studies examine the mood-emotion relationship, mood prediction has barely been ...	[]	Train
21,403	24	Title: OTB-morph: One-Time Biometrics via Morphing Abstract: Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition systems. This transfo...	[]	Validation
21,404	28	Title: Breaking the Interference and Fading Gridlock in Backscatter Communications: State-of-the-Art, Design Challenges, and Future Directions Abstract: With the rapid advancement of the Internet of Things (IoT) and mobile communication technologies, a multitude of devices are becoming interconnected, marking the onset...	[ 368, 10461 ]	Validation
21,405	2	Title: Shhh! The Logic of Clandestine Operations Abstract: An operation is called covert if it conceals the identity of the actor; it is called clandestine if the very fact that the operation is conducted is concealed. The paper proposes a formal semantics of clandestine operations and introduces a sound and complete l...	[]	Train
21,406	24	Title: Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints Abstract: This paper investigates conservative exploration in reinforcement learning where the performance of the learning agent is guaranteed to be above a certain threshold throughout the learning process. It focuses...	[]	Train
21,407	30	Title: Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories Abstract: Pre-trained language models (PLMs) demonstrate excellent abilities to understand texts in the generic domain while struggling in a specific domain. Although continued pre-training on a large d...	[ 23655 ]	Train
21,408	16	Title: Neural Gradient Regularizer Abstract: Owing to its significant success, the prior imposed on gradient maps has consistently been a subject of great interest in the field of image processing. Total variation (TV), one of the most representative regularizers, is known for its ability to capture the intrinsic spars...	[ 7086 ]	Validation
21,409	3	Title: Validation of Artificial Intelligence Containing Products Across the Regulated Healthcare Industries Abstract: nan	[]	Train
21,410	24	Title: Towards Optimal Compression: Joint Pruning and Quantization Abstract: Model compression is instrumental in optimizing deep neural network inference on resource-constrained hardware. The prevailing methods for network compression, namely quantization and pruning, have been shown to enhance efficiency at the cost ...	[ 44993, 923 ]	Train
21,411	15	Title: Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses Abstract: The performance and capacity of solid-state drives (SSDs) are continuously improving to meet the increasing demands of modern data-intensive applications. Unfortunately, communication between the SSD controller and m...	[]	Test
21,412	16	Title: D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery Abstract: Existing methods for 3D human mesh recovery always directly estimate SMPL parameters, which involve both joint rotations and shape parameters. However, these methods present rotation semantic ambiguity, rotation erro...	[]	Train
21,413	16	Title: Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing Abstract: Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage to vital anatomical s...	[]	Test
21,414	16	Title: Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field Abstract: Recently 3D-aware GAN methods with neural radiance field have developed rapidly. However, current methods model the whole image as an overall neural radiance field, which limits the partial semantic edita...	[ 10930, 9954, 26414 ]	Test
21,415	24	Title: Enforcing Privacy in Distributed Learning with Performance Guarantees Abstract: —We study the privatization of distributed learning and optimization strategies. We focus on differential privacy schemes and study their effect on performance. We show that the popular additive random perturbation scheme degrades pe...	[ 30833 ]	Train
21,416	10	Title: The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts Abstract: . Randomized clinical trials, while often viewed as the highest evidentiary bar by which to judge the quality of a medical intervention, are far from perfect. In silico imaging ...	[]	Train
21,417	24	Title: DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation Abstract: Self-training emerges as an important research line on domain adaptation. By taking the model’s prediction as the pseudo labels of the unlabeled data, self-training bootstraps the model with pseudo instances in the ta...	[]	Validation
21,418	27	Title: Customizing Textile and Tactile Skins for Interactive Industrial Robots Abstract: Tactile skins made from textiles enhance robot-human interaction by localizing contact points and measuring contact forces. This paper presents a solution for rapidly fabricating, calibrating, and deploying these skins on industria...	[ 5569 ]	Train
21,419	27	Title: Optimal Control for Articulated Soft Robots Abstract: Soft robots can execute tasks with safer interactions. However, control techniques that can effectively exploit the systems' capabilities are still missing. Differential dynamic programming (DDP) has emerged as a promising tool for achieving highly dynamic ta...	[]	Train
21,420	8	Title: Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3 Abstract: Digital twins have been emerging as a hybrid approach that combines the benefits of simulators with the realism of experimental testbeds. The accurate and repeatable set-ups replicating the d...	[]	Train
21,421	16	Title: Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification Abstract: Finding abnormal lymph nodes in radiological images is highly important for various medical tasks such as cancer metastasis staging and radiotherapy planning. Lymph nodes (LNs) are small glands scattered throughout the...	[]	Train
21,422	16	Title: Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data Abstract: Deep learning-based methods have been the key driving force behind much of the recent success of facial expression recognition (FER) systems. However, th...	[]	Train
21,423	16	Title: DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection Abstract: Automatic fingerprint recognition systems suffer from the threat of presentation attacks due to their wide range of applications in areas including national borders and commercial application...	[]	Test
21,424	27	Title: CBGL: Fast Monte Carlo Passive Global Localisation of 2D LIDAR Sensor Abstract: Navigation of a mobile robot is conditioned on the knowledge of its pose. In observer-based localisation configurations its initial pose may not be knowable in advance, leading to the need of its estimation. Solutions to the problem ...	[ 38459 ]	Test
21,425	15	Title: Domain-Specific Computational Storage for Serverless Computing Abstract: While (1) serverless computing is emerging as a popular form of cloud execution, datacenters are going through major changes: (2) storage dissaggregation in the system infrastructure level and (3) integration of domain-specific accelerators...	[]	Test
21,426	16	Title: Referring Expression Comprehension Using Language Adaptive Inference Abstract: Different from universal object detection, referring expression comprehension (REC) aims to locate specific objects referred to by natural language expressions. The expression provides high-level concepts of relevant visual and contex...	[]	Train
21,427	24	Title: Reconstructive Neuron Pruning for Backdoor Defense Abstract: Deep neural networks (DNNs) have been found to be vulnerable to backdoor attacks, raising security concerns about their deployment in mission-critical applications. While existing defense methods have demonstrated promising results, it is still not cle...	[]	Test
21,428	16	Title: The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction Abstract: 3D multi-person motion prediction is a challenging task that involves modeling individual behaviors and interactions between people. Despite the emergence of approaches for this task, comparing them is difficult due to the lack o...	[ 25758 ]	Train
21,429	16	Title: SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images Abstract: Bird's-Eye-View (BEV) semantic maps have become an essential component of automated driving pipelines due to the rich representation they provide for decision-making tasks. However, existing approaches for gene...	[ 42746, 40526 ]	Test
21,430	10	Title: Lagrangian based A* algorithm for automated reasoning Abstract: In this paper, a modification of A* algorithm is considered for the shortest path problem. A weightage is introduced in the heuristic part of the A* algorithm to improve its efficiency. An application of the algorithm is considered for UAV path plan...	[]	Train
21,431	30	Title: Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism Abstract: Patent classification is an essential task in patent information management and patent knowledge mining. It is very important to classify patents related to artificial intellige...	[ 31463 ]	Train
21,432	15	Title: Low-Latency Online Multiplier with Reduced Activities and Minimized Interconnect for Inner Product Arrays Abstract: Multiplication is indispensable and is one of the core operations in many modern applications including signal processing and neural networks. Conventional right-to-left (RL) multiplier extensively...	[ 15716 ]	Train
21,433	16	Title: A baseline on continual learning methods for video action recognition Abstract: Continual learning has recently attracted attention from the research community, as it aims to solve long-standing limitations of classic supervisedly-trained models. However, most research on this subject has tackled continual learn...	[]	Validation
21,434	30	Title: Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions Abstract: Societal biases present in pre-trained large language models are a critical issue as these models have been shown to propagate biases in countless downstream applications, rendering them unfair towards specif...	[ 28568, 345 ]	Validation
21,435	16	Title: Real Face Foundation Representation Learning for Generalized Deepfake Detection Abstract: The emergence of deepfake technologies has become a matter of social concern as they pose threats to individual privacy and public security. It is now of great significance to develop reliable deepfake detectors. However, w...	[]	Test
21,436	4	Title: Montsalvat: Intel SGX shielding for GraalVM native images Abstract: The popularity of the Java programming language has led to its wide adoption in cloud computing infrastructures. However, Java applications running in untrusted clouds are vulnerable to various forms of privileged attacks. The emergence of trust...	[ 41754 ]	Train
21,437	20	Title: Optimal area-sensitive bounds for polytope approximation Abstract: Approximating convex bodies is a fundamental question in geometry and has applications to a wide variety of optimization problems. Given a convex body K in REd for fixed d, the objective is to minimize the number of vertices or facets of an appro...	[ 25857, 17387 ]	Train
21,438	28	Title: A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing Abstract: In this paper, we study the application of spatially coupled LDPC codes with sub-block locality for space division multiplexing. We focus on the information exchange between the sub-blocks and compare decoding...	[]	Train
21,439	36	Title: Stackelberg Vertex Cover on a Path Abstract: A Stackelberg Vertex Cover game is played on an undirected graph $\mathcal{G}$ where some of the vertices are under the control of a \emph{leader}. The remaining vertices are assigned a fixed weight. The game is played in two stages. First, the leader chooses prices f...	[]	Train
21,440	28	Title: Quantized criterion-based kernel recursive least squares adaptive filtering for time series prediction Abstract: The robustness of the kernel recursive least square (KRLS) algorithm has recently been improved by combining them with more robust information-theoretic learning criteria, such as minimum error entrop...	[]	Validation
21,441	10	Title: ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT Abstract: In this paper, we investigate the use of data obtained from prompting a large generative language model, ChatGPT, to generate synthetic training data with the aim of augmenting data in low resource scenarios. We show that with approp...	[ 10209, 5700, 23286, 30974 ]	Train
21,442	23	Title: Summary of the 3rd International Workshop on Requirements Engineering and Testing (RET 2016): [Co-located with REFSQ 2016] Abstract: The RET (Requirements Engineering and Testing) workshop series provides a meeting point for researchers and practitioners from the two separate fields of Requirements Engineering (...	[]	Train
21,443	16	Title: DT-NeRF: Decomposed Triplane-Hash Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis Abstract: In this paper, we present the decomposed triplane-hash neural radiance fields (DT-NeRF), a framework that significantly improves the photorealistic rendering of talking faces and achieves state-of-the-...	[ 21771, 9565, 30158 ]	Train
21,444	30	Title: covLLM: Large Language Models for COVID-19 Biomedical Literature Abstract: The COVID-19 pandemic led to 1.1 million deaths in the United States, despite the explosion of coronavirus research. These new findings are slow to translate to clinical interventions, leading to poorer patient outcomes and unnecessary de...	[ 6328, 12602, 13700 ]	Test
21,445	3	Title: The Full Rights Dilemma for A.I. Systems of Debatable Personhood Abstract: An Artificially Intelligent system (an AI) has debatable personhood if it's epistemically possible either that the AI is a person or that it falls far short of personhood. Debatable personhood is a likely outcome of AI development and mig...	[]	Train
21,446	16	Title: Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings Abstract: Human sketch has already proved its worth in various visual understanding tasks (e.g., retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of sketches – that they are also salient. This is intuitiv...	[ 20841, 43261, 11686 ]	Validation
21,447	28	Title: Age-Based Cache Updating Under Timestomping Abstract: We consider a slotted communication system consisting of a source, a cache, a user and a timestomping adversary. The time horizon consists of total $T$ time slots, such that the source transmits update packets to the user directly over $T_{1}$ time slots and ...	[ 936, 20563 ]	Train
21,448	34	Title: Stochastic Minimum Vertex Cover in General Graphs: A 3/2-Approximation Abstract: We study the stochastic vertex cover problem. In this problem, G = (V, E) is an arbitrary known graph, and G⋆ is an unknown random subgraph of G where each edge e is realized independently with probability p. Edges of G⋆ can only be...	[]	Train
21,449	24	Title: Continuous Indeterminate Probability Neural Network Abstract: This paper introduces a general model called CIPNN - Continuous Indeterminate Probability Neural Network, and this model is based on IPNN, which is used for discrete latent random variables. Currently, posterior of continuous latent variables is regar...	[ 17359 ]	Validation
21,450	30	Title: What about “em”? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns Abstract: As 3rd-person pronoun usage shifts to include novel forms, e.g., neopronouns, we need more research on identity-inclusive NLP. Exclusion is particularly harmful in one of the most popular NLP applications, machine transl...	[ 6109 ]	Test
21,451	24	Title: DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Abstract: The prompt estimation of traffic incident impacts can guide commuters in their trip planning and improve the resilience of transportation agencies' decision-making on resilience. However, it is more...	[]	Train
21,452	16	Title: Explaining Autonomous Driving Actions with Visual Question Answering Abstract: The end-to-end learning ability of self-driving vehicles has achieved significant milestones over the last decade owing to rapid advances in deep learning and computer vision algorithms. However, as autonomous driving technology is a ...	[ 33220 ]	Validation
21,453	25	Title: Emotion-Conditioned Melody Harmonization with Hierarchical Variational Autoencoder Abstract: Existing melody harmonization models have made great progress in improving the quality of generated harmonies, but most of them ignored the emotions beneath the music. Meanwhile, the variability of harmonies generated by...	[]	Train
21,454	30	Title: MDACE: MIMIC Documents Annotated with Code Evidence Abstract: We introduce a dataset for evidence/rationale extraction on an extreme multi-label classification task over long medical documents. One such task is Computer-Assisted Coding (CAC) which has improved significantly in recent years, thanks to advances in...	[]	Test
21,455	30	Title: Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection Abstract: Hate speech is a severe issue that affects many online platforms. So far, several studies have been performed to develop robust hate speech detection systems. Large language models like ChatGPT have recently shown a...	[ 40736, 29072, 43566, 12087 ]	Test
21,456	24	Title: Difficulty in learning chirality for Transformer fed with SMILES Abstract: Recent years have seen development of descriptor generation based on representation learning of extremely diverse molecules, especially those that apply natural language processing (NLP) models to SMILES, a literal representation of molec...	[ 45455 ]	Train
21,457	27	Title: ALAN: Autonomously Exploring Robotic Agents in the Real World Abstract: Robotic agents that operate autonomously in the real world need to continuously explore their environment and learn from the data collected, with minimal human supervision. While it is possible to build agents that can learn in such a manner...	[ 45736, 11211, 13273, 28827, 17147 ]	Train
21,458	2	Title: Certifying C program correctness with respect to CH2O with VeriFast Abstract: VeriFast is a powerful tool for verification of various correctness properties of C programs using symbolic execution. However, VeriFast itself has not been verified. We present a proof-of-concept extension which generates a correctnes...	[]	Validation
21,459	1	Title: M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce Abstract: Given the long textual product information and the product image, Multi-Modal Product Summarization (MMPS) aims to attract customers' interest and increase their desire to purchase by highlighting product cha...	[]	Train
21,460	30	Title: Variation and Instability in Dialect-Based Embedding Spaces Abstract: This paper measures variation in embedding spaces which have been trained on different regional varieties of English while controlling for instability in the embeddings. While previous work has shown that it is possible to distinguish between ...	[]	Train
21,461	30	Title: The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges Abstract: Recent advancements in visiolinguistic (VL) learning have allowed the development of multiple models and techniques that offer several impressive implementations, able to currently resolve a variety of tasks tha...	[ 40202, 39757, 42165, 21880, 31033, 45242 ]	Train
21,462	24	Title: High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Abstract: Robust distributed learning with Byzantine failures has attracted extensive research interests in recent years. However, most of existing methods suffer from curse of dimensionality, which is increasingly serious...	[ 14816 ]	Train
21,463	16	Title: Weakly Supervised Detection of Baby Cry Abstract: Detection of baby cries is an important part of baby monitoring and health care. Almost all existing methods use supervised SVM, CNN, or their varieties. In this work, we propose to use weakly supervised anomaly detection to detect a baby cry. In this weak superv...	[]	Train
21,464	16	Title: Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images Abstract: Radiotherapists require accurate registration of MR/CT images to effectively use information from both modalities. In a typical registration pipeline, rigid or affine transformations are applied to roughly align the fixed an...	[]	Train
21,465	34	Title: Improved Algorithms for White-Box Adversarial Streams Abstract: We study streaming algorithms in the white-box adversarial stream model, where the internal state of the streaming algorithm is revealed to an adversary who adaptively generates the stream updates, but the algorithm obtains fresh randomness unknown ...	[]	Train
21,466	16	Title: Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks Abstract: For pursuing accurate skeleton-based action recognition, most prior methods use the strategy of combining Graph Convolution Networks (GCNs) with attention-based methods in a serial way. However, they regard the h...	[ 37075 ]	Validation
21,467	8	Title: Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users Abstract: Intelligent transportation and autonomous mobility solutions rely on cooperative awareness developed by exchanging proximity and mobility data among road users. To maintain pervasive awa...	[]	Validation
21,468	24	Title: Rethinking Robust Contrastive Learning from the Adversarial Perspective Abstract: To advance the understanding of robust deep learning, we delve into the effects of adversarial training on self-supervised and supervised contrastive learning alongside supervised learning. Our analysis uncovers significant dispari...	[]	Train
21,469	27	Title: Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation Abstract: This paper proposes the transition-net, a robust transition strategy that expands the versatility of robot locomotion in the real-world setting. To this end, we start by distributing the complexity of...	[]	Validation
21,470	24	Title: Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs Abstract: This paper proposes an actor-critic algorithm for controlling the temperature of a battery pack using a cooling fluid. This is modeled by a coupled 1D partial differential equation (PDE...	[]	Train
21,471	24	Title: Understanding the Initial Condensation of Convolutional Neural Networks Abstract: Previous research has shown that fully-connected networks with small initialization and gradient-based training methods exhibit a phenomenon known as condensation during training. This phenomenon refers to the input weights of hidd...	[ 11084 ]	Train
21,472	34	Title: Complexity Framework for Forbidden Subgraphs III: When Problems are Tractable on Subcubic Graphs Abstract: For any finite set $\mathcal{H} = \{H_1,\ldots,H_p\}$ of graphs, a graph is $\mathcal{H}$-subgraph-free if it does not contain any of $H_1,\ldots,H_p$ as a subgraph. In recent work, meta-classifications hav...	[]	Train
21,473	16	Title: A Comprehensive Review of Modern Object Segmentation Approaches Abstract: Image segmentation is the task of associating pixels in an image with their respective object class labels. It has a wide range of applications in many industries including healthcare, transportation, robotics, fashion, home improvement, a...	[]	Train
21,474	36	Title: Game theory analysis when playing the wrong game Abstract: In classical game theory, optimal strategies are determined for games with complete information; this requires knowledge of the opponent's goals. We analyze games when a player is mistaken about their opponents goals. For definitiveness, we study the (co...	[]	Validation
21,475	15	Title: Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training Abstract: The need for deep neural network (DNN) models with higher performance and better functionality leads to the proliferation of very large models. Model training, however, requires intensive computation time and energ...	[]	Validation
21,476	16	Title: Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning Abstract: A robot operating in unstructured environments must be able to discriminate between different grasping styles depending on the prospective manipulation task. Having a system that allows learni...	[ 22115 ]	Train
21,477	30	Title: Improving Cross-Task Generalization with Step-by-Step Instructions Abstract: Instruction tuning has been shown to be able to improve cross-task generalization of language models. However, it is still challenging for language models to complete the target tasks following the instructions, as the instructions are ...	[ 1944, 12281, 38551 ]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.