Most Cited AAAI "disparity completion" Papers

Pedro Zuidberg Dos Martires

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network

Xuming Hu, Zhaochen Hong, Yong Jiang et al.

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement

Chengjie Ge, Xueyang Fu, Peng He et al.

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Neuromorphic Event Signal-Driven Network for Video De-raining

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian Bors

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation

Hui Cui, Lihai Zhao, Fengling Li et al.

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

Mingshan Chang, Min Yang, Qingshan Jiang et al.

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering

Lei Wang, Yi Hu, Jiabang He et al.

When Do Program-of-Thought Works for Reasoning?

Zhen Bi, Ningyu Zhang, Yinuo Jiang et al.

Weakly-Supervised Mirror Detection via Scribble Annotations

Mingfeng Zha, Yunqiang Pei, Guoqing Wang et al.

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

SuperJunction: Learning-Based Junction Detection for Retinal Image Registration

Yu Wang, Xiaoye Wang, Zaiwang Gu et al.

IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching

Ximeng Li, Chen Zhang, Wanjuan Su et al.

Parallel Empirical Evaluations: Resilience despite Concurrency

Johannes Fichte, Tobias Geibinger, Markus Hecher et al.

OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-resolution

Yang Wang, Tao Zhang

SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network

Swakshar Deb, Sejuti Rahman, Shafin Rahman

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for

Jianqing Zhang, Yang Liu, Yang Hua et al.

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding

Yaoyuan Liang, Xiao Liang, Yansong Tang et al.

NaRuto: Automatically Acquiring Planning Models from Narrative Texts

Ruiqi Li, Leyang Cui, Songtuan Lin et al.

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment

Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.

M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning

Jinhao Lin, Ziheng Wu, Weifeng Lin et al.

Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs

Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan

2475 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification

O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model

Yubin Hu, Sheng Ye, Wang Zhao et al.

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification

Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process

Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.

Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection

Wenwen Zhang, Yun Hu, Hangguan Shan et al.

QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification

Chunyu Hu, Hong Zhang, Chao Liang et al.

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data

Junjie Liang, Weijieying Ren, Sahar Hanifi et al.

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu, Yu Zhao, Bingzhe Wu et al.

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

Ritwik Vashistha, Arya Farahi

AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose

Huichao Zhang, Bowen Chen, Hao Yang et al.

Semantic-Aware Transformation-Invariant RoI Align

Guo-Ye Yang, Kiyohiro Nakayama, Zi-Kai Xiao et al.

Backdoor Attacks via Machine Unlearning

Zihao Liu, Tianhao Wang, Mengdi Huai et al.

QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters

Yushan Liu, Zili Wang, Ruifeng Yuan

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Xiang Song, Yuhang He, Songlin Dong et al.

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

Dongyue Guo, Zheng Zhang, Zhen Yan et al.

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space

Jun Liu, Jiantao Zhou, Jiandian Zeng et al.

You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification

Yongqiang Zheng, Xia Li

Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms

Zheng Xing, Weibing Zhao

Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction

Jianping Zhu, Xin Guo, Yang Chen et al.

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport

Jixiang Yu, Nanjun Chen, Ming Gao et al.

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

Yudong Zhang, Xu Wang, Xuan Yu et al.

Block-Level Goal Recognition Design

Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance

Qi Bi, Shaodi You, Theo Gevers

On the Unstable Convergence Regime of Gradient Descent

Shuo Chen, Jiaying Peng, Xiaolong Li et al.

Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network

Xiongqi Zhang, Junwei Xu, Yang Wang et al.

Sampling-Resilient Multi-Object Tracking

Zepeng Li, Dongxiang Zhang, Sai Wu et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation

Huimin Huang, Yawen Huang, Shiao Xie et al.

Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes

Wenbo Hu, Hongjian Zhan, Xinchen Ma et al.

Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability

Dong Wu, Mingmin Chi, Xuan Zang et al.

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis

Shuo Yin, Guoqiang Zhong

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation

Wensi Liu, Xiao-Yu Tang, Chong Yang et al.

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders

Junru Song, Yang Yang, Wei Peng et al.

Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting

Shiqi Zhang, Pan Mu, Cheng Huang et al.

MIND: Multi

Task Incremental Network Distillation

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

MDGNN: Multi

Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

Toward Open

Set Human-Object Interaction Detection

SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Jiwu Huang et al.

SphereDiffusion: Spherical Geometry

Aware Distortion Resilient Diffusion Model

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

Haolong Li, Chenghao Du, Ziheng Jiang et al.

DVANet: Disentangling View and Action Features for Multi

View Action Recognition

Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction

Ran Zhang, Xuezhi Wang, Guannan Liu et al.

Sparse3D: Distilling Multiview

Consistent Diffusion for Object Reconstruction from Sparse Views

Learning Planning Domains from Non

redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

UniADS: Universal Architecture

Distiller Search for Distillation Gap

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction

Authors: Wei Chen, Yuxuan Liu, Zhao Zhang et al.

A Hybrid Global-Local Perception Network for Lane Detection

Authors: Qing Chang, Yifei Tong

Dynamic Tangled Derivative Logic of Metric Spaces

Authors: David Fernández-Duque, Yoàv Montacute

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization

Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.

G2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection

Authors: Yiwei Wei, Shaozu Yuan, Hengyang Zhou et al.

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.

Latent Diffusion Transformer for Probabilistic Time Series Forecasting

Authors: Shibo Feng, Chunyan Miao, Zhong Zhang et al.

Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network

Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

Authors: Mingjiang Duan, Tongya Zheng, Yang Gao et al.

Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning

Simon Dold, Malte Helmert

Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors

Authors: Shaojie Zhang, Chun Shen, Shuai Lü et al.

High-Fidelity Gradient Inversion in Distributed Learning

Zipeng Ye, Wenjian Luo, Qi Zhou et al.

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion

Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang et al.

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Na FAN, Zeyue Tian, Amartansh DUBEY et al.

SAT-Based Algorithms for Regular Graph Pattern Matching

Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning

1903 Yiqi Dong, Dongxiao He, Xiaobao Wang et al.

Learning in Online Principle-Agent Interactions: The Power of Menus

Minbiao Han, Michael Albert, Haifeng Xu

ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing

Yi Dong, Yuxi Wang, Ruoxi Fan et al.

BERT-Based Code Learning for Exception Localization and Type Prediction

Chongyu Zhang, Qiping Tao, Liangyu Chen et al.

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection

2964 Jun Wei, S. Kevin Zhou, Shuguang Cui et al.

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Label Attentive Distillation for GNN-Based Graph Classification

Xiaobin Hong, Wenzhong Li, Chaoqun Wang et al.

Rethinking Multi-Scale Representations in Deep Deraining Transformer

Hongming Chen, Xiang Chen, Jiyang Lu et al.

Occluded Person Re-identification via Saliency-Guided Patch Transfer

821 Lei Tan, Jiaer Xia, Wenfeng Liu et al.

Differentiable Auxiliary Learning for Sketch Re-identification

Xingyu Liu, Xu Cheng, Haoyu Chen et al.

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification

Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Jingtao Li, Xing Chen, Li Yang et al.

Which Is More Effective in Label Noise Cleaning, Correction or Filtering?

Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization

Xu Cai, Jonathan Scarlett

SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain

9044 Zhifeng Zhu, Yaochen Li, Yifan Li et al.

Structural Entropy Based Graph Structure Learning for Node Classification

13155 Liang Duan, Xiang Chen, Wenjie Liu et al.

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

12620 Kyle Mana, Fernando Acero, Stephen Mak et al.

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.

Towards More Likely Models for AI Planning

11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen et al.

Generation and Classification Reframing

Fenglong Ma, Hongyang Chen, Hong Yu et al.

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

Xi Zeng, Xiaotian Hao, Hongyao Tang et al.

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

Chen BAI, Jianwang Zhai, Yuzhe Ma et al.

Tensorized Label Learning Based Fast Fuzzy Clustering

Xingyu Xue, Jingjing Xue, Quanxue Gao et al.

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation

QiHao Xu, Xiaoling Luo, Chao Huang et al.

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu et al.

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits

Bo Xue, Xi Lin, Xiaoyuan Zhang et al.

Clustering by Mining Density Distributions and Splitting Manifold Structure

Zhichang Xu, Zhiguo Long, Hua Meng

Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints

Qinfu Xu, Yiwei Wei, Chunlei Wu et al.

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie et al.

Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting

Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Shenshen Li, Chen He, Xing Xu et al.

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework

Wei Xiao, Hongbin Wang, Ming He et al.

FIND: A Framework for Discovering Formulas in Data

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction

Zhixiao Wu, Yao Lu, Jie Wen et al.

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting

Yuhan Wu, Xiyu Meng, Huajin Hu et al.

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering

Tingting Wu, Zhendong Li, Zhibin Gu et al.

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers

Siyuan Wu, Yongzhe Jia, Bowen Liu et al.

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong et al.

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Xi Zeng, Fei Ni, Shaoqing Jiao et al.

Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning

Liang Wu, Ruixi Hu, Yunwen Lei

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On

Chenghu Du, Junyin Wang, Yi Rong et al.

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

Di Wu, Qilong Feng, Junyu Huang et al.

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

Qi Wei, Shuo He, Jiahan Zhang et al.

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

Kun Wei, Zhe Xu, Cheng Deng

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement

Yang Fan, Xiangping Wu, Qingcai Chen et al.

Learning Cluster-Wise Anchors for Multi-View Clustering

Chao Zhang, Xiuyi Jia, Zechao Li et al.

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location

Na Yu, Yutong Deng, Shunyu Liu et al.

FlexPose: Pose Distribution Adaptation with Limited Guidance

Zixiao Wang, Junwu Weng, Mengyuan Liu et al.

Multi-Instance Multi-Label Classification from Crowdsourced Labels

Ziquan Wang, Mingxuan Xia, Xiangyu Ren et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens

Zichen Wang, Feng Yan, Tianyi Wang et al.

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.

Quantum Best Arm Identification with Quantum Oracles

Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade et al.

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding

Zhen Chen, Dalin Zhang, Shanshan Feng et al.

Text2Data: Low-Resource Data Generation with Textual Control

Shiyu Wang, Yihao Feng, Tian Lan et al.

FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement

Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

Qingmei Wang, Yuxin Wu, Yujie Long et al.

Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder

Qianqian Wang, Zihao Zhang, Wei Feng et al.

Pre-Trained Vision-Language Models as Noisy Partial Annotators

Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation

Meng-zhu Wang

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint

Juncheng Wang, Bingjie Yan, Yituo Liu

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Hui Wang, Renyu Yang, Jie Sun et al.

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Hao Wang, Biqin Song, Hao Deng et al.

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

Da Wang, Lin Li, Wei Wei et al.

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng Wang, Chao Huang, Jie Wen et al.

Other Papers

SoftCLIP: Softer Cross

Modal Alignment Makes CLIP Stronger

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross

Domain Recommendation

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series

Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham et al.

The Irrelevance of Influencers: Information Diffusion with Re

Activation and Immunity Lasts Exponentially Long on Social Network Models

Can Large Language Models Understand Real

World Complex Instructions?

MoDE: A Mixture

of-Experts Model with Mutual Distillation among the Experts

ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets

Tomas Tokar, Scott Sanner

Spanning the Spectrum of Hatred Detection: A Persian Multi

Label Hate Speech Dataset with Annotator Rationales

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision

Language Reasoning Network

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization

Ruihao Zheng, Zhenkun Wang

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations

Heng Rao, Yu Gu, Jason Zipeng Zhang et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Anchor Search: A Unified Framework for Suboptimal Bidirectional Search

Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg et al.

Searching for and Avoiding Hidden Sets Using Queries with Local Feedback

Tomasz Jurdzinski, Dariusz R. Kowalski

Faster Double Adaptive Gradient Methods

Feihu Huang, Yuning Luo

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels

Wenjing Hong

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs

Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran