Most Cited 2024 "fourier embedding" Papers

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

Jiyong Li, Dilshod Azizov, Yang LI et al.

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

Mengmeng Sheng, Zeren Sun, Zhenhuang Cai et al.

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye et al.

NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement

Marcos Conde, Javier Vazquez-Corral, Michael Brown et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li et al.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Yongjian Deng, Hao Chen, Youfu Li

Fine-Grained Distillation for Long Document Retrieval

Yucheng Zhou, Tao Shen, Xiubo Geng et al.

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems

Junhao Shen, Hong Qian, Wei Zhang et al.

Optimal Survival Trees: A Dynamic Programming Approach

Tim Huisman, Jacobus van der Linden, Emir Demirović

LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions

Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie et al.

SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen et al.

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Gaoge Han, Shaoli Huang, Mingming Gong et al.

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

Stratified GNN Explanations through Sufficient Expansion

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Gradient-Guided Modality Decoupling for Missing-Modality Robustness

Open-Vocabulary Video Relation Extraction

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

G2L-CariGAN: Caricature Generation from Global Structure to Local Features

Xin Huang, Yunfeng Bai, Dong Liang et al.

The Complexity of Fair Division of Indivisible Items with Externalities

Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna et al.

A Unified Knowledge Transfer Network for Generalized Category Discovery

Wenkai Shi, Wenbin An, Feng Tian et al.

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

Taolin Zhang, Sunan He, Tao Dai et al.

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

Haochun Wang, Sendong Zhao, Chi Liu et al.

Semi-supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning

Wensheng Pan, Timin Gao, Yan Zhang et al.

Learning to Reweight for Generalizable Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang et al.

LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities

Jiahui Qu, Yuanbo Yang, Wenqian Dong et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement

Kai Shang, Mingwen Shao, Chao Wang et al.

Weakly Supervised Multimodal Affordance Grounding for Egocentric Images

Lingjing Xu, Yang Gao, Wenfeng Song et al.

Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting

Lingdong Shen, Chunlei Huo, Nuo Xu et al.

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Hussein Mozannar, Gagan Bansal, Adam Fourney et al.

Adaptive Hardness Negative Sampling for Collaborative Filtering

Riwei Lai, Rui Chen, Qilong Han et al.

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Chuxiong Sun, Zehua Zang, Jiabao Li et al.

MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

Shuying Huang, Ge Chen, Yong Yang et al.

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Malek Mechergui, Sarath Sreedharan

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

Yiwen Chen, Chi Zhang, Xiaofeng Yang et al.

Quantum-Inspired Neural Network with Runge-Kutta Method

Zipeng Fan, Jing Zhang, Peng Zhang et al.

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Optimal Attack and Defense for Reinforcement Learning

Jeremy McMahan, Young Wu, Xiaojin Zhu et al.

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.

Cross-Constrained Progressive Inference for 3D Hand Pose Estimation

ZheHan Kan, Xueting Hu, Zihan Liao et al.

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

Decomposing Constraint Networks for Calculating c-Representations

Marco Wilhelm, Gabriele Kern-Isberner

Embedded Feature Selection on Graph-Based Multi-View Clustering

Guangfei Li, Haizhou Yang, Quanxue Gao et al.

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks

Sheng Long, Wei Tao, Shuohao LI et al.

Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning

Gopendra Singh, Mauajama Firdaus, Dushyant Singh Chauhan et al.

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography

Xiao Ke, Huanqi Wu, Wenzhong Guo

Transferable Video Moment Localization by Moment-Guided Query Prompting

Hao Jiang, Yang Yizhang, Yadong Mu

Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration

Hao Huang, Tapan Shah, Scott Evans et al.

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.

Current Page

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.

Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation

Zhuqiang Lu, Kun Hu, Chaoyue Wang 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.

Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:

Peijun Bao, Zihao Shao, Wenhan 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.

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Chao Li, Yupeng Zhang, Jianqi Wang 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

AltDiffusion: A Multilingual Text-to-Image Diffusion Model

Fulong Ye, Guang Liu, Xinya Wu et al.

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.