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
20,078	16	Title: PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers Abstract: The Transformer-based detectors (i.e., DETR) have demonstrated impressive performance on end-to-end object detection. However, transferring DETR to different data distributions may lead to a significant performance degradatio...	[ 42004 ]	Test
20,079	37	Title: Towards "all-inclusive" Data Preparation to ensure Data Quality Abstract: Data preparation, especially data cleaning, is very important to ensure data quality and to improve the output of automated decision systems. Since there is no single tool that covers all steps required, a combination of tools -- namely a ...	[]	Test
20,080	28	Title: Acute semigroups, the order bound on the minimum distance, and the Feng-Rao improvements Abstract: We introduce a new class of numerical semigroups, which we call the class of acute semigroups and we prove that they generalize symmetric and pseudosymmetric numerical semigroups, Arf numerical semigroups, and the ...	[]	Train
20,081	24	Title: Resilient Binary Neural Network Abstract: Binary neural networks (BNNs) have received ever-increasing popularity for their great capability of reducing storage burden as well as quickening inference time. However, there is a severe performance drop compared with {real-valued} networks, due to its intrinsic frequ...	[ 11971 ]	Validation
20,082	27	Title: Reconfigurable Robot Control Using Flexible Coupling Mechanisms Abstract: Reconfigurable robot swarms are capable of connecting with each other to form complex structures. Current mechanical or magnetic connection mechanisms can be complicated to manufacture, consume high power, have a limited load-bearing capac...	[]	Train
20,083	16	Title: Curriculum Learning for ab initio Deep Learned Refractive Optics Abstract: Deep lens optimization has recently emerged as a new paradigm for designing computational imaging systems, however it has been limited to either simple optical systems consisting of a single DOE or metalens, or the fine-tuning of compound...	[ 13277, 26869, 1221 ]	Train
20,084	24	Title: Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Abstract: Federated learning (FL) is usually performed on resource-constrained edge devices, e.g., with limited memory for the computation. If the required memory to train a model exceeds this limit, the device w...	[]	Validation
20,085	10	Title: Socratis: Are large multimodal models emotionally aware? Abstract: Existing emotion prediction benchmarks contain coarse emotion labels which do not consider the diversity of emotions that an image and text can elicit in humans due to various reasons. Learning diverse reactions to multimodal content is important...	[ 10624, 19305, 38452 ]	Validation
20,086	34	Title: Faster Wavelet Trees with Quad Vectors Abstract: Given a text, rank and select queries return the number of occurrences of a character up to a position (rank) or the position of a character with a given rank (select). These queries have applications in, e.g., compression, computational geometry, and pattern matc...	[]	Train
20,087	15	Title: Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems Abstract: As computing hardware becomes more specialized, designing environmentally sustainable computing systems requires accounting for both hardware and software parameters. Our goal is to design low carbon computing syste...	[]	Train
20,088	30	Title: Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Abstract: Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), ...	[ 12128 ]	Validation
20,089	24	Title: Graph Neural Networks Go Forward-Forward Abstract: We present the Graph Forward-Forward (GFF) algorithm, an extension of the Forward-Forward procedure to graphs, able to handle features distributed over a graph's nodes. This allows training graph neural networks with forward passes only, without backpropagation....	[ 24733 ]	Train
20,090	24	Title: An Estimator for the Sensitivity to Perturbations of Deep Neural Networks Abstract: For Deep Neural Networks (DNNs) to become useful in safety-critical applications, such as self-driving cars and disease diagnosis, they must be stable to perturbations in input and model parameters. Characterizing the sensitivity...	[]	Train
20,091	27	Title: A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots Abstract: In the most extensive robot evolution systems, both the bodies and the brains of the robots undergo evolution and the brains of 'infant' robots are also optimized by a learning process immediately after 'birth'. This ...	[]	Test
20,092	16	Title: Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval Abstract: Video moment retrieval (VMR) aims to identify the specific moment in an untrimmed video for a given natural language query. However, this task is prone to suffer the weak visual-textual alignment problem from query ambiguity, potential...	[]	Test
20,093	16	Title: Self-supervised Monocular Depth Estimation: Let's Talk About The Weather Abstract: Current, self-supervised depth estimation architectures rely on clear and sunny weather scenes to train deep neural networks. However, in many locations, this assumption is too strong. For example in the UK (2021), 149 days consis...	[ 32503 ]	Train
20,094	27	Title: Reinforcement Learning for Legged Robots: Motion Imitation from Model-Based Optimal Control Abstract: We propose MIMOC: Motion Imitation from Model-Based Optimal Control. MIMOC is a Reinforcement Learning (RL) controller that learns agile locomotion by imitating reference trajectories from model-based optimal co...	[ 27079 ]	Validation
20,095	27	Title: Contextual Autonomy Evaluation of Unmanned Aerial Vehicles in Subterranean Environments Abstract: In this paper we focus on the evaluation of contextual autonomy for robots. More specifically, we propose a fuzzy framework for calculating the autonomy score for a small Unmanned Aerial Systems (sUAS) for performin...	[]	Validation
20,096	24	Title: Similarity Preserving Adversarial Graph Contrastive Learning Abstract: Recent works demonstrate that GNN models are vulnerable to adversarial attacks, which refer to imperceptible perturbation on the graph structure and node features. Among various GNN models, graph contrastive learning (GCL) based methods speci...	[]	Train
20,097	16	Title: Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment Abstract: Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality image information. It is becoming mo...	[ 8393, 3068 ]	Test
20,098	6	Title: Continuous interaction with a smart speaker via low-dimensional embeddings of dynamic hand pose Abstract: This paper presents a new continuous interaction strategy with visual feedback of hand pose and mid-air gesture recognition and control for a smart music speaker, which utilizes only 2 video frames to recogn...	[]	Train
20,099	5	Title: A Survey of Potential MPI Complex Collectives: Large-Scale Mining and Analysis of HPC Applications Abstract: Offload of MPI collectives to network devices, e.g., NICs and switches, is being implemented as an effective mechanism to improve application performance by reducing inter- and intra-node communication an...	[]	Test
20,100	16	Title: Count, Decode and Fetch: A New Approach to Handwritten Chinese Character Error Correction Abstract: Recently, handwritten Chinese character error correction has been greatly improved by employing encoder-decoder methods to decompose a Chinese character into an ideographic description sequence (IDS). However, exi...	[ 25948, 30590 ]	Train
20,101	27	Title: Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning Abstract: A realistic long-term microscopic traffic simulator is necessary for understanding how microscopic changes affect traffic patterns at a larger scale. Traditional simulators that model human driving behavior with...	[ 44129, 25614 ]	Train
20,102	38	Title: Understanding differences of the OA uptake within the Germany university landscape (2010-2020) - Part 2: repository-provided OA Abstract: This study investigates the determinants for the uptake of institutional and subject repository Open Access (OA) in the university landscape of Germany and considers three fac...	[]	Test
20,103	39	Title: A new branch-and-cut approach for integrated planning in additive manufacturing Abstract: In recent years, there has been considerable interest in the transformative potential of additive manufacturing (AM) since it allows for producing highly customizable and complex components while reducing lead times and cos...	[]	Train
20,104	24	Title: Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Abstract: In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed itself as the trending approach to automate the discovery of deep neural network architectures. This rise is mainl...	[ 31848, 27788 ]	Train
20,105	23	Title: Read It, Don't Watch It: Captioning Bug Recordings Automatically Abstract: Screen recordings of mobile applications are easy to capture and include a wealth of information, making them a popular mechanism for users to inform developers of the problems encountered in the bug reports. However, watching the bug rec...	[ 23872, 28305, 23306, 41636 ]	Test
20,106	3	Title: Motivation, inclusivity, and realism should drive data science education Abstract: Data science education provides tremendous opportunities but remains inaccessible to many communities. Increasing the accessibility of data science to these communities not only benefits the individuals entering data science, but ...	[]	Validation
20,107	13	Title: A Decision Making Approach for Chemotherapy Planning based on Evolutionary Processing Abstract: The problem of chemotherapy treatment optimization can be defined in order to minimize the size of the tumor without endangering the patient's health; therefore, chemotherapy requires to achieve a number of objectives...	[]	Test
20,108	30	Title: Dual-Alignment Pre-training for Cross-lingual Sentence Embedding Abstract: Recent studies have shown that dual encoder models trained with the sentence-level translation ranking task are effective methods for cross-lingual sentence embedding. However, our research indicates that token-level alignment is also cru...	[]	Test
20,109	24	Title: JPEG Compressed Images Can Bypass Protections Against AI Editing Abstract: Recently developed text-to-image diffusion models make it easy to edit or create high-quality images. Their ease of use has raised concerns about the potential for malicious editing or deepfake creation. Imperceptible perturbations have b...	[ 27059, 22886 ]	Validation
20,110	24	Title: Multi-modal Latent Diffusion Abstract: Multi-modal data-sets are ubiquitous in modern applications, and multi-modal Variational Autoencoders are a popular family of models that aim to learn a joint representation of the different modalities. However, existing approaches suffer from a coherence-quality tradeoff, ...	[ 28532, 23563, 8308, 10332 ]	Train
20,111	16	Title: TCR: Short Video Title Generation and Cover Selection with Attention Refinement Abstract: With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically generating appealing titles and covers for...	[]	Test
20,112	31	Title: Binary Embedding-based Retrieval at Tencent Abstract: Large-scale embedding-based retrieval (EBR) is the cornerstone of search-related industrial applications. Given a user query, the system of EBR aims to identify relevant information from a large corpus of documents that may be tens or hundreds of billions in ...	[]	Validation
20,113	24	Title: Provable benefits of score matching Abstract: Score matching is an alternative to maximum likelihood (ML) for estimating a probability distribution parametrized up to a constant of proportionality. By fitting the ''score'' of the distribution, it sidesteps the need to compute this constant of proportionality (wh...	[ 21854 ]	Train
20,114	16	Title: Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables Abstract: The widespread usage of high-definition screens on edge devices stimulates a strong demand for efficient image restoration algorithms. The way of caching deep learning models in a look-up table (LUT) is recently intro...	[]	Train
20,115	25	Title: Continuous descriptor-based control for deep audio synthesis Abstract: Despite significant advances in deep models for music generation, the use of these techniques remains restricted to expert users. Before being democratized among musicians, generative models must first provide expressive control over the gene...	[ 19170 ]	Train
20,116	30	Title: Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models Abstract: Large language models are able to learn new tasks in context, where they are provided with instructions and a few annotated examples. However, the effectiveness of in-context learning is dependent on the provided c...	[ 15943 ]	Train
20,117	24	Title: Feature Embedding Clustering using POCS-based Clustering Algorithm Abstract: An application of the POCS-based clustering algorithm (POCS stands for Projection Onto Convex Set), a novel clustering technique, for feature embedding clustering problems is proposed in this paper. The POCS-based clustering algorithm a...	[]	Train
20,118	16	Title: STB-VMM: Swin Transformer Based Video Motion Magnification Abstract: nan	[]	Test
20,119	16	Title: Multi-modal Visual Understanding with Prompts for Semantic Information Disentanglement of Image Abstract: Multi-modal visual understanding of images with prompts involves using various visual and textual cues to enhance the semantic understanding of images. This approach combines both vision and language process...	[]	Train
20,120	24	Title: Explainable Multilayer Graph Neural Network for Cancer Gene Prediction Abstract: The identification of cancer genes is a critical yet challenging problem in cancer genomics research. Existing computational methods, including deep graph neural networks, fail to exploit the multilayered gene-gene interactions or p...	[ 35535 ]	Train
20,121	24	Title: Spatial Implicit Neural Representations for Global-Scale Species Mapping Abstract: Estimating the geographical range of a species from sparse observations is a challenging and important geospatial prediction problem. Given a set of locations where a species has been observed, the goal is to build a model to pred...	[ 37985, 13207 ]	Test
20,122	24	Title: Heterogeneous Federated Learning: State-of-the-art and Research Challenges Abstract: Federated learning (FL) has drawn increasing attention owing to its potential use in large-scale industrial applications. Existing federated learning works mainly focus on model homogeneous settings. However, practical federated...	[ 30334, 2194, 12686, 4095 ]	Train
20,123	16	Title: Spectral Analysis of Marine Debris in Simulated and Observed Sentinel-2/MSI Images using Unsupervised Classification Abstract: Marine litter poses significant threats to marine and coastal environments, with its impacts ever-growing. Remote sensing provides an advantageous supplement to traditional mitigation te...	[]	Test
20,124	16	Title: Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification Abstract: We present a novel unsupervised domain adaption method for person re-identification (reID) that generalizes a model trained on a labeled source domain to an unlabeled target domain. We introduce a camera-dri...	[]	Train
20,125	36	Title: No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand Abstract: This work is dedicated to the algorithm design in a competitive framework, with the primary goal of learning a stable equilibrium. We consider the dynamic price competition between two firms operating within an opaque m...	[]	Validation
20,126	2	Title: Formalising Yoneda Ext in Univalent Foundations Abstract: Ext groups are fundamental objects from homological algebra which underlie important computations in homotopy theory. We formalise the theory of Yoneda Ext groups in homotopy type theory (HoTT) using the Coq-HoTT library. This is an approach to Ext which ...	[]	Validation
20,127	16	Title: Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation Abstract: Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications. However, current full head generation methods require a large number of 3D scans or multi...	[]	Train
20,128	16	Title: Continuous Space-Time Video Super-Resolution Utilizing Long-Range Temporal Information Abstract: In this paper, we consider the task of space-time video super-resolution (ST-VSR), namely, expanding a given source video to a higher frame rate and resolution simultaneously. However, most existing schemes either co...	[]	Validation
20,129	6	Title: Inclusive AR/VR: Accessibility Barriers for Immersive Technologies Abstract: nan	[]	Test
20,130	16	Title: Neural network-based coronary dominance classification of RCA angiograms Abstract: Background. Cardiac dominance classification is essential for SYNTAX score estimation, which is a tool used to determine the complexity of coronary artery disease and guide patient selection toward optimal revascularization strate...	[]	Test
20,131	31	Title: Effectiveness and Efficiency Trade-off in Selective Query Processing Abstract: Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion model can be optimized or learned from past queries. Ho...	[]	Validation
20,132	16	Title: SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance Abstract: Out-of-Distribution (OoD) detection has developed substantially in the past few years, with available methods approaching, and in a few cases achieving, perfect data separation on standar...	[ 9455 ]	Test
20,133	6	Title: Emotional Interaction Qualities: Vocabulary, Modalities, Actions, And Mapping Abstract: Have you ever typed particularly powerful on your keyboard, maybe even harsh , to write and send a message with some emphasis of your emotional state or message? Did it work? Probably not. It didn't affect how you typed or in...	[]	Train
20,134	16	Title: A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification Abstract: Cervical cancer is one of the most severe diseases threatening women's health. Early detection and diagnosis can significantly reduce cancer risk, in which cervical cytology classification is indispensable. Researcher...	[]	Train
20,135	7	Title: A hybrid approach to full-scale reconstruction of renal arterial network Abstract: nan	[]	Train
20,136	11	Title: Impact of baggage collection behaviour on aircraft evacuation Abstract: Recent reports of emergency aircraft evacuations have highlighted an increasing tendency amongst evacuees to ignore clear safety warnings and to collect and carry personal items of baggage during egress. However, relatively little work has s...	[]	Train
20,137	5	Title: Blockchain-based Federated Learning for Decentralized Energy Management Systems Abstract: The Internet of Energy (IoE) is a distributed paradigm that leverages smart networks and distributed system technologies to enable decentralized energy systems. In contrast to the traditional centralized energy systems, dis...	[]	Validation
20,138	6	Title: AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis Abstract: The generation of realistic and contextually relevant co-speech gestures is a challenging yet increasingly important task in the creation of multimodal artificial agents. Prior methods focused on learning a direct...	[ 34944, 41699 ]	Validation
20,139	16	Title: Toward Fair Facial Expression Recognition with Improved Distribution Alignment Abstract: We present a novel approach to mitigate bias in facial expression recognition (FER) models. Our method aims to reduce sensitive attribute information such as gender, age, or race, in the embeddings produced by FER models. We...	[]	Train
20,140	28	Title: Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks Abstract: The separate receiver architecture with a time- or power-splitting mode, widely used for simultaneous wireless information and power transfer (SWIPT), has a major drawback: Energy...	[]	Train
20,141	30	Title: UniSA: Unified Generative Framework for Sentiment Analysis Abstract: Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information. It consists of several subtasks, such as emotion recognition in conversation (ERC), aspect-...	[ 42529, 20228, 9580, 16848, 33808 ]	Train
20,142	16	Title: Cross-Class Feature Augmentation for Class Incremental Learning Abstract: We propose a novel class incremental learning approach by incorporating a feature augmentation technique motivated by adversarial attacks. We employ a classifier learned in the past to complement training examples rather than simply play a...	[]	Train
20,143	22	Title: Make flows small again: revisiting the flow framework Abstract: We present a new flow framework for separation logic reasoning about programs that manipulate general graphs. The framework overcomes problems in earlier developments: it is based on standard fixed point theory, guarantees least flows, rules out van...	[ 17143 ]	Train
20,144	13	Title: Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition Abstract: Temporal spike recognition plays a crucial role in various domains, including anomaly detection, keyword spotting and neuroscience. This paper presents a novel algorithm for efficient temporal spike pattern recogn...	[]	Test
20,145	10	Title: Neuro-Symbolic World Models for Adapting to Open World Novelty Abstract: Open-world novelty--a sudden change in the mechanics or properties of an environment--is a common occurrence in the real world. Novelty adaptation is an agent's ability to improve its policy performance post-novelty. Most reinforcement lear...	[ 13607 ]	Validation
20,146	28	Title: Jamming Suppression Via Resource Hopping in High-Mobility OTFS-SCMA Systems Abstract: This letter studies the mechanism of uplink multiple access and jamming suppression in an OTFS system. Specifically, we propose a novel resource hopping mechanism for orthogonal time frequency space (OTFS) systems with delay or...	[]	Validation
20,147	16	Title: Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions Abstract: Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) fixe...	[]	Train
20,148	30	Title: A CTC Alignment-Based Non-Autoregressive Transformer for End-to-End Automatic Speech Recognition Abstract: Recently, end-to-end models have been widely used in automatic speech recognition (ASR) systems. Two of the most representative approaches are connectionist temporal classification (CTC) and attention-based...	[]	Test
20,149	10	Title: On the Use of Generative Models in Observational Causal Analysis Abstract: The use of a hypothetical generative model was been suggested for causal analysis of observational data. The very assumption of a particular model is a commitment to a certain set of variables and therefore to a certain set of possible ca...	[]	Test
20,150	28	Title: Secure codes with list decoding Abstract: Traitor tracing is a mathematical approach of protecting copyright of multimedia content. In this paper we propose a new concept of secure codes with list decoding (SCLD) for collusion-resistant multimedia fingerprinting, which could include many existing classes of fing...	[]	Validation
20,151	24	Title: Path Neural Networks: Expressive and Accurate Graph Neural Networks Abstract: Graph neural networks (GNNs) have recently become the standard approach for learning with graph-structured data. Prior work has shed light into their potential, but also their limitations. Unfortunately, it was shown that standard GNNs...	[ 3103 ]	Train
20,152	24	Title: Transforming ECG Diagnosis: An In-depth Review of Transformer-based DeepLearning Models in Cardiovascular Disease Detection Abstract: The emergence of deep learning has significantly enhanced the analysis of electrocardiograms (ECGs), a non-invasive method that is essential for assessing heart health. Despite th...	[]	Train
20,153	16	Title: Modality Unifying Network for Visible-Infrared Person Re-Identification Abstract: Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-modality discrepancies and intra-class variations. Existing methods mainly focus on learning modality-shared representations by embedding ...	[]	Validation
20,154	16	Title: Exploring Invariant Representation for Visible-Infrared Person Re-Identification Abstract: Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy. In this paper, we address the problem from both image...	[ 5658, 13381 ]	Test
20,155	27	Title: Approximate Optimal Controller Synthesis for Cart-Poles and Quadrotors via Sums-of-Squares Abstract: Sums-of-squares (SOS) optimization is a promising tool to synthesize certifiable controllers for nonlinear dynamical systems. Building upon prior works, we demonstrate that SOS can synthesize dynamic controllers ...	[]	Train
20,156	27	Title: Predicting human motion intention for pHRI assistive control Abstract: This work addresses human intention identification during physical Human-Robot Interaction (pHRI) tasks to include this information in an assistive controller. To this purpose, human intention is defined as the desired trajectory that the hum...	[]	Test
20,157	16	Title: Fairness in Visual Clustering: A Novel Transformer Clustering Approach Abstract: Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal. This is because of the limitation of large-scale balanced data with well-annotated labels for sensit...	[ 14767 ]	Validation
20,158	36	Title: On the complexity of Pareto-optimal and envy-free lotteries Abstract: We study the classic problem of dividing a collection of indivisible resources in a fair and efficient manner among a set of agents having varied preferences. Pareto optimality is a standard notion of economic efficiency, which states that it ...	[]	Validation
20,159	10	Title: Posthoc Interpretation via Quantization Abstract: In this paper, we introduce a new approach, called Posthoc Interpretation via Quantization (PIQ), for interpreting decisions made by trained classifiers. Our method utilizes vector quantization to transform the representations of a classifier into a discrete, cla...	[]	Train
20,160	28	Title: Ground-to-UAV Integrated Network: Low Latency Communication over Interference Channel Abstract: We present a novel and first-of-its-kind information-theoretic framework for the key design consideration and implementation of a ground-to-UAV (G2U) communication network to minimize end-to-end transmission delay in ...	[]	Train
20,161	16	Title: Variational Point Encoding Deformation for Dental Modeling Abstract: Digital dentistry has made significant advancements in recent years, yet numerous challenges remain to be addressed. In this study, we release a new extensive dataset of tooth meshes to encourage further research. Additionally, we propose Varia...	[]	Validation
20,162	31	Title: Task Relation-aware Continual User Representation Learning Abstract: User modeling, which learns to represent users into a low-dimensional representation space based on their past behaviors, got a surge of interest from the industry for providing personalized services to users. Previous efforts in user modeling ...	[ 19500 ]	Validation
20,163	16	Title: Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning Abstract: Affordable 3D scanners often produce sparse and non-uniform point clouds that negatively impact downstream applications in robotic systems. While existing point cloud upsampling architectures have demonstrated promising results on stan...	[]	Validation
20,164	16	Title: Graph Neural Network for Accurate and Low-complexity SAR ATR Abstract: Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) is the key technique for remote sensing image recognition. The state-of-the-art works exploit the deep convolutional neural networks (CNNs) for SAR ATR, leading to high computa...	[ 34014 ]	Train
20,165	24	Title: Equitable Multi-task Learning Abstract: Multi-task learning (MTL) has achieved great success in various research domains, such as CV, NLP and IR etc. Due to the complex and competing task correlation, naive training all tasks may lead to inequitable learning, i.e. some tasks are learned well while others are ove...	[]	Test
20,166	8	Title: MCQUIC - A Multicast Extension for QUIC Abstract: Mass live content, such as world cups, the Superbowl or the Olympics, attract audiences of hundreds of millions of viewers. While such events were predominantly consumed on TV, more and more viewers follow big events on the Internet, which poses a scalability cha...	[]	Train
20,167	24	Title: Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Abstract: We consider the reinforcement learning (RL) problem with general utilities which consists in maximizing a function of the state-action occupancy measure. Beyond the standard cumulative reward RL setti...	[ 35258 ]	Train
20,168	26	Title: Beyond the ego network: The effect of distant connections on node anonymity Abstract: Ensuring privacy of individuals is of paramount importance to social network analysis research. Previous work assessed anonymity in a network based on the non-uniqueness of a node's ego network. In this work, we show that this ...	[]	Train
20,169	16	Title: Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning Abstract: In this work, we introduce Vid2Seq, a multi-modal single-stage dense event captioning model pretrained on narrated videos which are readily-available at scale. The Vid2Seq architecture augments a language model with ...	[ 32832, 30690, 17795, 41288, 13674, 20010, 10897, 9810, 18421, 24053, 2967, 34937 ]	Train
20,170	31	Title: Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs Abstract: Every day, thousands of digital documents are generated with useful information for companies, public organizations, and citizens. Given the impossibility of processing them manually, the automatic processing of these do...	[ 40658, 37102 ]	Train
20,171	2	Title: A note on encoding infinity in ZFA with applications to register automata Abstract: Working in Zermelo-Fraenkel Set Theory with Atoms over an $\omega$-categorical $\omega$-stable structure, we show how \emph{infinite} constructions over definable sets can be encoded as \emph{finite} constructions over the Stone-...	[]	Test
20,172	6	Title: SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study Abstract: Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon ...	[]	Train
20,173	23	Title: Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors Abstract: Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at run-time. There exist rule-based approaches for automatically repairing Python ...	[ 34992, 22097, 17523, 25227 ]	Train
20,174	16	Title: In-Context Learning Unlocked for Diffusion Models Abstract: We present Prompt Diffusion, a framework for enabling in-context learning in diffusion-based generative models. Given a pair of task-specific example images, such as depth from/to image and scribble from/to image, and a text guidance, our model automati...	[ 34912, 40833, 13186, 34009, 36741, 20484, 16103, 42599, 17968, 8051, 17526, 33049, 34074, 43327 ]	Validation
20,175	16	Title: Advancing Visual Grounding with Scene Knowledge: Benchmark and Method Abstract: Visual grounding (VG) aims to establish fine-grained alignment between vision and language. Ideally, it can be a testbed for vision-and-language models to evaluate their understanding of the images and texts and their reasoning abili...	[ 16232, 23061 ]	Train
20,176	31	Title: Multi-behavior Self-supervised Learning for Recommendation Abstract: Modern recommender systems often deal with a variety of user interactions, e.g., click, forward, purchase, etc., which requires the underlying recommender engines to fully understand and leverage multi-behavior data from users. Despite recent e...	[]	Train
20,177	24	Title: GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces Abstract: We focus on the problem of generating high-quality, private synthetic glucose traces, a task generalizable to many other time series sources. Existing methods for time series data synthesis, such as those using Generative Adversaria...	[]	Test

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