Most Cited 2024 "object categories" Papers

BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

ZhiWei Lin, Yongtao Wang, Shengxiang Qi et al.

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang et al.

Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach

Yuyang Chai, Zhuang Li, Jiahui Liu et al.

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang et al.

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

Knowledge-Aware Explainable Reciprocal Recommendation

Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

Qingyun Zhang, YuMing Du, Zhipeng Lü et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

Jiaan Wang, JIanfeng Qu, Kexin Wang et al.

Ghost Noise for Regularizing Deep Neural Networks

Atli Kosson, Dongyang Fan, Martin Jaggi

A Sequentially Fair Mechanism for Multiple Sensitive Attributes

Francois HU, Philipp Ratz, Arthur Charpentier

From GARCH to Neural Network for Volatility Forecast

Pengfei Zhao, Haoren ZHU, Wilfred Ng et al.

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data

Na Zhao, Gim Hee Lee

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training

Yuqi Lin, Minghao Chen, Kaipeng Zhang et al.

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning

Samyadeep Basu, Shell Hu, Daniela Massiceti et al.

End-to-End Real-Time Vanishing Point Detection with Transformer

Xin Tong, Shi Peng, Yufei Guo et al.

Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning

Shuning Xu, Binbin SONG, Xiangyu Chen et al.

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Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding et al.

From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation

Xinhao Chen, Chong Yang, Changzhi Sun et al.

Decouple Content and Motion for Conditional Image-to-Video Generation

Cuifeng Shen, Yulu Gan, Chen Chen et al.

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution

Jiahui Qu, Jie He, Wenqian Dong et al.

Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

Jian Hu, Jiayi Lin, Shaogang Gong et al.

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

Zhaofan Zhang, Yanan Xiao, Lu Jiang et al.

ConditionVideo: Training-Free Condition-Guided Video Generation

Bo Peng, Xinyuan Chen, Yaohui Wang et al.

On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning

Jiayi Chen, Aidong Zhang

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang et al.

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li et al.

Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan et al.

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

Bin Shang, Yinliang Zhao, Jun Liu et al.

Partial Multi-View Clustering via Self-Supervised Network

Qianqian Wang, Guoshuai Sheng, Quanxue Gao et al.

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

Yunqian Fan, Xiuying Wei, Ruihao Gong et al.

TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection

Hao Sun, Mingyao Zhou, Wenjing Chen et al.

Efficient Target Propagation by Deriving Analytical Solution

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning

Shuai Shao, Yu Bai, Yan Wang et al.

Divergence-Guided Simultaneous Speech Translation

Xinjie Chen, Kai Fan, Wei Luo et al.

A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis

Tianshuo Peng, Zuchao Li, Ping Wang et al.

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

Ao Liu, Wenshan Li, Tao Li et al.

Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment

Rui Zhao, Liang Zhang, Biao Fu et al.

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion

Bowen Zhang, Qing Liu, Jianming Zhang et al.

Using Artificial Populations to Study Psychological Phenomena in Neural Models

Jesse Roberts, Kyle Moore, Drew Wilenzick et al.

Resource Democratization: Is Compute the Binding Constraint on AI Research?

Rebecca Gelles, Veronica Kinoshita, Micah Musser et al.

Amalgamating Multi-Task Models with Heterogeneous Architectures

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

Generating Universal Adversarial Perturbations for Quantum Classifiers

Gautham Anil, Vishnu Vinod, Apurva Narayan

A Separation and Alignment Framework for Black-Box Domain Adaptation

Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Liangliang Shi, Zhaoqi Shen, Junchi Yan

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution

Kai Yin, Jie Shen

Instance-Conditional Timescales of Decay for Nonstationary Learning

Nishant Jain, Pradeep Shenoy

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.

KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking

Liu Liu, Anran Huang, Qi Wu et al.

Integer Is Enough: When Vertical Federated Learning Meets Rounding

Pengyu Qiu, Yuwen Pu, Yongchao Liu et al.

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Graph Neural Networks with Soft Association between Topology and Attribute

Yachao Yang, Yanfeng Sun, Shaofan Wang et al.

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

Zhi Jin, Sheng Xu, Xiang Zhang et al.

United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus

Qiao Zhang, Tao Xiang, Chunsheng Xin et al.

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Zihui Gu, Xingwu Sun, Fengzong Lian et al.

MID-FiLD: MIDI Dataset for Fine-Level Dynamics

Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling

Ye Wang, Huazheng Pan, Tao Zhang et al.

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Yixuan Zhang, Boyu Li, Zenan Ling et al.

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems

Kerian Thuillier, Anne Siegel, Loïc Paulevé

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang et al.

Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

Qijun Gan, Wentong Li, Jinwei Ren et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships

Tanglong Zhao, Ruifang He, Jing Xu et al.

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding

Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.

Altruism in Facility Location Problems

Hau Chan, Minming Li, Houyu Zhou

Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation

Lijun Zhang, Kangkang Zhou, Feng Lu et al.

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

Is a Large Language Model a Good Annotator for Event Extraction?

Ruirui Chen, Chengwei Qin, Weifeng Jiang et al.

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation

Lingzi Zhang, Xin Zhou, Zhiwei Zeng et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

Clarifying the Behavior and the Difficulty of Adversarial Training

Xu Cheng, Hao Zhang, Yue Xin et al.

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu et al.

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng et al.

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.

Delegation-Relegation for Boolean Matrix Factorization

Florent Avellaneda, Roger Villemaire

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation

Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.

Learning Small Decision Trees for Data of Low Rank-Width

Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.

Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval

Yu Liu, Guihe Qin, Haipeng Chen et al.

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Discovering Sequential Patterns with Predictable Inter-event Delays

Joscha Cüppers, Paul Krieger, Jilles Vreeken

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang et al.

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution

Yexing Song, Meilin Wang, Zhijing Yang et al.

Submodel Enumeration for CTL Is Hard

Nicolas Fröhlich, Arne Meier

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

Memory-Efficient Reversible Spiking Neural Networks

Hong Zhang, Yu Zhang

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He et al.

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories

Andoni Rodríguez, César Sánchez

LaViP: Language-Grounded Visual Prompting

Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi

Self-Interpretable Graph Learning with Sufficient and Necessary Explanations

Jiale Deng, Yanyan Shen

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Shaohui Peng, Xing Hu, Qi Yi et al.

Adaptive Graph Learning for Multimodal Conversational Emotion Detection

Geng Tu, Tian Xie, Bin Liang et al.

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Hongbo Zhang, Guang Wang, Xu Wang et al.

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

Zeping Min, Jinfeng Bai, Chengfei Li

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Ji Cheng, Bo Xue, Jiaxiang Yi et al.

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub et al.

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Zhang, Tuomas Sandholm

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Michael Curry, Vinzenz Thoma, Darshan Chakrabarti et al.

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.

Unifying Decision and Function Queries in Stochastic Boolean Satisfiability

Yu-Wei Fan, Jie-Hong Jiang

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Yue Zhang, Ming Zhang, HaiPeng Yuan et al.

SeqRank: Sequential Ranking of Salient Objects

Bilateral Gradual Semantics for Weighted Argumentation

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation

Huankang Guan, Rynson W.H. Lau

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu et al.

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan et al.

Learning Performance Maximizing Ensembles with Explainability Guarantees

Vincent Pisztora, Jia Li

Communication Efficient Distributed Newton Method over Unreliable Networks

Ming Wen, Chengchang Liu, Yuedong Xu

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Yiyang Yao, Peng Liu, Tiancheng Zhao et al.

Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

Zhenyu Cui, Yuxin Peng, Xun Wang et al.

MuST: Robust Image Watermarking for Multi-Source Tracing

Guanjie Wang, Zehua Ma, Chang Liu et al.

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution

Yutao Yuan, Chun Yuan

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention

Naman Shah, Siddharth Srivastava

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

Jing Li, Junsong Fan, Yuran Yang et al.

From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks

Xianda Zhang, Baolin Zheng, Jianbao Hu et al.

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs

Ke Liang, Lingyuan Meng, Sihang Zhou et al.

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Yuewen Sun, Erli Wang, Biwei Huang et al.

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach

Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng YIN, He Wang et al.

Understanding and Leveraging the Learning Phases of Neural Networks

Computing the Why-Provenance for Datalog Queries via SAT Solvers

Haitong Luo, Xuying Meng, Suhang Wang et al.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

Haoyang Chen, Peiyan Sun, Qiyuan Song et al.

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition

Yuning Qiu, Guoxu Zhou, Andong Wang et al.

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen et al.

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

Han Lu, Xiahai Zhuang, Qiang Luo

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Factorized Explainer for Graph Neural Networks

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Pengwei Yan, Kaisong Song, Zhuoren Jiang et al.

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Xiang Fang, Daizong Liu, Wanlong Fang et al.

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Kailin Li, Lixin Yang, Zenan Lin et al.

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Feature Transportation Improves Graph Neural Networks

Moshe Eliasof, Eldad Haber, Eran Treister

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou et al.

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.

Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph

Yaolin Zheng, Hongbo Huang, Xiuying Wang et al.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Robust Node Classification on Graph Data with Graph and Label Noise

Yonghua Zhu, Lei Feng, Zhenyun Deng et al.

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu et al.

Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

Qi Bi, Shaodi You, Theo Gevers

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Yi Rong, Haoran Zhou, Lixin Yuan et al.

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks

Yongqi Ding, Lin Zuo, Mengmeng Jing et al.

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

Simple Weak Coresets for Non-decomposable Classification Measures

Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen et al.

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

Xinyu Zhang, Meng Kang, Shuai Lü

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains

Md Nasim, Yexiang Xue

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Urban Region Embedding via Multi-View Contrastive Prediction

Zechen Li, Weiming Huang, Kai Zhao et al.

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

Joseph Clements, Yingjie Lao

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu et al.

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

Dongha Kim, Yongchan Choi, Kunwoong Kim et al.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks

Zhipeng Qian, Yiwei Ma, Jiayi Ji et al.

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery

William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Margot Herin, Patrice Perny, Nataliya Sokolovska