Most Cited AAAI "instance-level optimization" Papers

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Yanjie Li, Weijun Li, Lina Yu et al.

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Yixuan Li, Can Chen, Jiajun Li et al.

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

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

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi

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

Ruihao Zheng, Zhenkun Wang

DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem

Shipei Zhou, Yuandong Ding, Chi Zhang et al.

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

Tomas Tokar, Scott Sanner

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

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

CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

David Valencia, Henry Williams, Yuning Xing et al.

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

Expressive Power of Temporal Message Passing

Przemysław Andrzej Wałęga, Michael Rawson

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng Wang, Chao Huang, Jie Wen et al.

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities

Bin Wang, Chunyu Xie, Dawei Leng et al.

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

Da Wang, Lin Li, Wei Wei et al.

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Hao Wang, Biqin Song, Hao Deng et al.

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

Hui Wang, Renyu Yang, Jie Sun et al.

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

Juncheng Wang, Bingjie Yan, Yituo Liu

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation

Meng-zhu Wang

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

Mingzi Wang, Yuan Meng, Chen Tang et al.

Pre-Trained Vision-Language Models as Noisy Partial Annotators

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

Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder

Qianqian Wang, Zihao Zhang, Wei Feng 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.

Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality

Qitong Wang, Tang Li, Kien X. Nguyen et al.

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

Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.

Text2Data: Low-Resource Data Generation with Textual Control

Shiyu Wang, Yihao Feng, Tian Lan et al.

Set-Valued Sensitivity Analysis of Deep Neural Networks

Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

Quantum Best Arm Identification with Quantum Oracles

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

Multi-label Self Knowledge Distillation

Xucong Wang, Pengkun Wang, Shurui Zhang et al.

Revisiting Projection-Free Online Learning with Time-Varying Constraints

Yibo Wang, Yuanyu Wan, Lijun Zhang

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang et al.

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.

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

Zichen Wang, Feng Yan, Tianyi Wang et al.

Multi-Instance Multi-Label Classification from Crowdsourced Labels

Ziquan Wang, Mingxuan Xia, Xiangyu Ren et al.

FlexPose: Pose Distribution Adaptation with Limited Guidance

Zixiao Wang, Junwu Weng, Mengyuan Liu et al.

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

Kun Wei, Zhe Xu, Cheng Deng

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

Qi Wei, Shuo He, Jiahan Zhang et al.

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Yongyan Wen, Siyuan Li, Rongchang Zuo et al.

Measuring Cross-Modal Interactions in Multimodal Models

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.

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

Di Wu, Qilong Feng, Junyu Huang et al.

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

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

Liang Wu, Ruixi Hu, Yunwen Lei

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong et al.

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li et al.

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

Siyuan Wu, Yongzhe Jia, Bowen Liu et al.

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

Tingting Wu, Zhendong Li, Zhibin Gu et al.

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

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

Yuhan Wu, Xiyu Meng, Huajin Hu et al.

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.

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

Clean-Label Graph Backdoor Attack in the Node Classification Task

Hui Xia, Xiangwei Zhao, Rui Zhang et al.

FIND: A Framework for Discovering Formulas in Data

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

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

Wei Xiao, Hongbin Wang, Ming He et al.

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

One Node One Model: Featuring the Missing-Half for Graph Clustering

Xuanting Xie, Bingheng Li, Erlin Pan et al.

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie et al.

Pilot: Building the Federated Multimodal Instruction Tuning Framework

Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Textualize Visual Prompt for Image Editing via Diffusion Bridge

Pengcheng Xu, Qingnan Fan, Fei Kou et al.

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

Qinfu Xu, Yiwei Wei, Chunlei Wu et al.

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?

Yanchen Xu, Siqi Huang, Hongyuan Zhang et al.

Clustering by Mining Density Distributions and Splitting Manifold Structure

Zhichang Xu, Zhiguo Long, Hua Meng

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

Bo Xue, Xi Lin, Xiaoyuan Zhang et al.

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Tensorized Label Learning Based Fast Fuzzy Clustering

Xingyu Xue, Jingjing Xue, Quanxue Gao et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao et al.

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen et al.

Structured IB: Improving Information Bottleneck with Structured Feature Learning

Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

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

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

Kaicheng Yang, Tiancheng Gu, Xiang An et al.

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo et al.

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

Li Xiang, Junbo Yin, Wei Li et al.

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection

Hongzhi Gao, Zheng Chen, Zehui Chen et al.

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization

Xu Cai, Jonathan Scarlett

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption

Ziteng Cui, Lin Gu, Xiao Sun et al.

HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting

Qihe Huang, Lei Shen, Ruixin Zhang et al.

Cross-Covariate Gait Recognition: A Benchmark

Shinan Zou, Chao Fan, Jianbo Xiong et al.

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

Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Cheng Peng, Ke Chen, Lidan Shou et al.

ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis

Yuchen He, Zeqing Yuan, Yihong Wu et al.

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin et al.

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

Jingtao Li, Xing Chen, Li Yang et al.

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction

Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation

Hui Fu, Zeqing Wang, Ke Gong et al.

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

Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.

Explicit Visual Prompts for Visual Object Tracking

Liangtao Shi, Bineng Zhong, Qihua Liang et al.

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks

Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong et al.

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

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Differentiable Auxiliary Learning for Sketch Re-identification

Xingyu Liu, Xu Cheng, Haoyu Chen et al.

Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser

Qingyuan Cai, Xuecai Hu, Saihui Hou et al.

Rethinking Multi-Scale Representations in Deep Deraining Transformer

Hongming Chen, Xiang Chen, Jiyang Lu et al.

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

Xun Huang, Hai Wu, Xin Li et al.

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

Jihong Ouyang, Zhiyao Yang, Silong Liang et al.

Label Attentive Distillation for GNN-Based Graph Classification

Xiaobin Hong, Wenzhong Li, Chaoqun Wang et al.

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Panoptic Scene Graph Generation with Semantics-Prototype Learning

Li Li, Wei Ji, Yiming Wu et al.

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

Yi Dong, Yuxi Wang, Ruoxi Fan et al.

Few-Shot Neural Radiance Fields under Unconstrained Illumination

SeokYeong Lee, JunYong Choi, Seungryong Kim et al.

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective

Wanying Wang, Yichen Zhu, Yirui Zhou et al.

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

Minbiao Han, Michael Albert, Haifeng Xu

SAT-Based Algorithms for Regular Graph Pattern Matching

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

Dynamic Weighted Combiner for Mixed-Modal Image Retrieval

Fuxiang Huang, Lei Zhang, Xiaowei Fu et al.

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning

Authors: Ying Mo, Jian Yang, Jiahao Liu et al.

Iterative Token Evaluation and Refinement for Real-World Super-resolution

Authors: Chaofeng Chen, Shangchen Zhou, Liang Liao et al.

CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues

Authors: Linglin Jing, Sheng Xu, Yifan Wang et al.

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

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

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

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

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

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

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Authors: Jichang Li, Guanbin Li, Hui Cheng et al.

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.

Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network

Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.

Latent Diffusion Transformer for Probabilistic Time Series Forecasting

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

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Authors: Zihao Zhao, Sheng Wang, Qian Wang et al.

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

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

Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems

Authors: Amit Jena, Dileep Kalathil, Le Xie

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization

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

Dynamic Tangled Derivative Logic of Metric Spaces

Authors: David Fernández-Duque, Yoàv Montacute

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Authors: Minh-Quan Le, Tam Nguyen, Trung-Nghia Le et al.

A Hybrid Global-Local Perception Network for Lane Detection

Authors: Qing Chang, Yifei Tong

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.

COMMA: Co-articulated Multi-Modal Learning

Authors: Lianyu Hu, Liqing Gao, Zekang Liu et al.

UniADS: Universal Architecture

Distiller Search for Distillation Gap

Learning Planning Domains from Non

redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

Sparse3D: Distilling Multiview

Consistent Diffusion for Object Reconstruction from Sparse Views

DVANet: Disentangling View and Action Features for Multi

View Action Recognition

SphereDiffusion: Spherical Geometry

Aware Distortion Resilient Diffusion Model

Toward Open

Set Human-Object Interaction Detection

MDGNN: Multi

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

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

MIND: Multi

Task Incremental Network Distillation

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

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

Unifying Visual and Vision-Language Tracking via Contrastive Learning

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Understanding the Role of the Projector in Knowledge Distillation

Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution

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

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

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

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.

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

Shuo Yin, Guoqiang Zhong

Adversarial Socialbots Modeling Based on Structural Information Principles

Xianghua Zeng, Hao Peng, Angsheng Li

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models

Qingyi Liu, Jinghui Qin, Wenxuan Ye 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.

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning

Xin Yu, Rongye Shi, Pu Feng et al.

Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes

Wenbo Hu, Hongjian Zhan, Xinchen Ma et al.

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Yubin Wang, Xinyang Jiang, De Cheng et al.

DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval

Xiangpeng Yang, Linchao Zhu, Xiaohan Wang et al.

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Bo Xue, Ji Cheng, Fei Liu et al.

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu et al.

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian et al.

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao et al.

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

Huimin Huang, Yawen Huang, Shiao Xie et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning

Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.

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

Learning Ultrametric Trees for Optimal Transport Regression

Controllable 3D Face Generation with Conditional Style Code Diffusion

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

Zhongjie Ba, Qingyu Liu, Zhenguang Liu et al.

On the Unstable Convergence Regime of Gradient Descent

Shuo Chen, Jiaying Peng, Xiaolong Li et al.

Deep Hierarchical Video Compression

Ming Lu, Zhihao Duan, Fengqing Zhu et al.

Low-Latency Space-Time Supersampling for Real-Time Rendering

Ruian He, Shili Zhou, Yuqi Sun et al.

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

Qi Bi, Shaodi You, Theo Gevers

Block-Level Goal Recognition Design

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong et al.

Direct Amortized Likelihood Ratio Estimation

Adam Cobb, Brian Matejek, Daniel Elenius et al.

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach

Haiping Ma, Changqian Wang, Hengshu Zhu et al.

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport

Jixiang Yu, Nanjun Chen, Ming Gao et al.

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models

Liang Li, Qingyuan Li, Bo Zhang et al.

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

Ke Liang, Sihang Zhou, Meng Liu et al.

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer et al.

Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms

Zheng Xing, Weibing Zhao

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

Fei Wang, Dan Guo, Kun Li et al.

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu et al.

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.

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

Jun Liu, Jiantao Zhou, Jiandian Zeng et al.

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

Dongyue Guo, Zheng Zhang, Zhen Yan et al.

Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning

Yang Jiao, Zequn Jie, Shaoxiang Chen et al.

Agile Multi-Source-Free Domain Adaptation

Xinyao Li, Jingjing Li, Fengling Li et al.

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Xiang Song, Yuhang He, Songlin Dong et al.

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

Yushan Liu, Zili Wang, Ruifeng Yuan

Noise-Free Optimization in Early Training Steps for Image Super-resolution

MinKyu Lee, Jae-Pil Heo

Backdoor Attacks via Machine Unlearning

Zihao Liu, Tianhao Wang, Mengdi Huai et al.