Most Cited AAAI "sample-efficient adaptation" Papers

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Modality-Aware Shot Relating and Comparing for Video Scene Detection

Jiawei Tan, Hongxing Wang, Kang Dang et al.

Block-Based Multi-Scale Image Rescaling

Jian Li, Siwang Zhou

MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices

Youpeng Zhao, Ming Lin, Huadong Tang et al.

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models

Daewon Chae, June Suk Choi, Jinkyu Kim et al.

Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling

Michael Heck, Christian Geishauser, Nurul Lubis et al.

Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement

Nuoyan Zhou, Dawei Zhou, Decheng Liu et al.

Unsupervised Translation of Emergent Communication

Ido Levy, Orr Paradise, Boaz Carmeli et al.

A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging

Ruoran Li, Runzhao Yang, Wenxin Xiang et al.

PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes

Xinhua Xu, Hong Liu, Jianbing Wu et al.

Focus Stacking with High Fidelity and Superior Visual Effects

Bo Liu, Bin Hu, Xiuli Bi et al.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi et al.

Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning

Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

Unsupervised Region-Based Image Editing of Denoising Diffusion Models

Zixiang Li, Yue Song, Renshuai Tao et al.

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL

Yihe Zhou, Yuxuan Zheng, Yue Hu et al.

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae

Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.

Multi-label Self Knowledge Distillation

Xucong Wang, Pengkun Wang, Shurui Zhang et al.

Certified Causal Defense with Generalizable Robustness

Yiran Qiao, Yu Yin, Chen Chen et al.

Quickest Detection of Adversarial Attacks Against Correlated Equilibria

Kiarash Kazari, Aris Kanellopoulos, György Dán

Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction

Peixin Huang, Xiang Zhao, Minghao Hu et al.

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling

Huai-An Su, Jiaxiang Geng, Liang Li et al.

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.

FROC: Building Fair ROC from a Trained Classifier

Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation

Shuyuan Zhao, Wei Chen, Boyan Shi et al.

SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration

Tianyi Chen, Yunfei Zhang, Lianxin Xie et al.

Single-view Image to Novel-view Generation for Hand-Object Interactions

Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero et al.

Bayesian Persuasion with Externalities: Exploiting Agent Types

Jonathan Shaki, Jiarui Gan, Sarit Kraus

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks

Han Liu, Jiaqing Zhan, Qin Zhang

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

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

Andrei Ivanov, Stefan Ailuro

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments

Taehun Cha, Donghun Lee

Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning

Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

Song Wang, Zhenyu Lei, Zhen Tan et al.

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation

Weilin Lin, Li Liu, Jianze Li et al.

Modeling All Response Surfaces in One for Conditional Search Spaces

Jiaxing Li, Wei Liu, Chao Xue et al.

CareBot: A Pioneering Full-Process Open-Source Medical Language Model

Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.

DCC: Differentiable Cardinality Constraints for Partial Index Tracking

Wooyeon Jo, Hyunsouk Cho

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions

Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang et al.

Asynchronous Distributed Gaussian Process Regression

Zewen Yang, Xiaobing Dai, Sandra Hirche

PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model

Hao Yang, Qianyu Zhou, Haijia Sun et al.

An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation

Jesse Heyninck

Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning

Dengming Zhang, Weitao You, Ziheng Liu et al.

The Causal Impact of Credit Lines on Spending Distributions

Yijun Li, Cheuk Hang Leung, Xiangqian Sun et al.

Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy

Joseph Bills, Christopher Archibald, Diego Blaylock

Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection

Zhipeng Zou, Sheng Wan, Guangyu Li et al.

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation

Redha Taguelmimt, Samir Aknine, Djamila Boukredera et al.

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Advancing Retrosynthesis with Retrieval-Augmented Graph Generation

Anjie Qiao, Zhen Wang, Jiahua Rao et al.

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

Attack-inspired Calibration Loss for Calibrating Crack Recognition

Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data

Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.

KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints

Sheng Yu, Di-Hua Zhai, Yuanqing Xia

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

Eliminating Majority Illusion Is Easy

Jack Dippel, Max Dupré la Tour, April Niu et al.

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang et al.

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting

Tianyi Yin, Jingwei Wang, Yunlong Ma et al.

The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning

Shentong Mo

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder

Yuhan Zhang, Guoqing Ma, Guangfu Hao et al.

Certifying Bounds Propagation for Integer Multiplication Constraints

Matthew J. McIlree, Ciaran McCreesh

Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows

Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki et al.

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Debiased Active Learning with Variational Gradient Rectifier

Weiguo Chen, Changjian Wang, Shijun Li et al.

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes

Yifan Lin, Enlu Zhou

D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models

Qian Zeng, Jie Song, Han Zheng et al.

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

Yoontae Hwang, Yongjae Lee

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Learn How to Query from Unlabeled Data Streams in Federated Learning

Yuchang Sun, Xinran Li, Tao Lin et al.

Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling

Hui Deng, Jiawei Shi, Zhen Qin et al.

Social-Aware Group Display Configuration in VR Conference

Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.

Multiplex Graph Representation Learning with Homophily and Consistency

Yudi Huang, Ci Nie, Hongqing He et al.

State-Based Disassembly Planning

Chao Lei, Nir Lipovetzky, Krista A. Ehinger

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations

Yi Zhang, Chun-Wun Cheng, Junyi He et al.

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst

Shijue Huang, Wanjun Zhong, Deng Cai et al.

HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks

Jia Jinghong, Lei Song, Jiaxing Li et al.

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

Qiannan Zhang, Shichao Pei, Yuan Fang et al.

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging

Chuang Liu, Yichao Cao, YingYing Zhang et al.

SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning

Xu Zhang, Jin Yuan, Hanwang Zhang et al.

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM

Xingyu Lyu, Qianqian Xu, Zhiyong Yang et al.

Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap

Nikolai Karpov, Chen Wang

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees

Jinzhao Li, Nan Jiang, Yexiang Xue

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

Man Liu, Huihui Bai, Feng Li et al.

When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes

Augustin Godinot, Erwan Le Merrer, Camilla Penzo et al.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning

Chenglin Li, Guangchun Ruan, Hua Geng

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu et al.

Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis

Yinan Li, Jun Long, Zhan Yang

Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder

Qiqi Zhang, Chao Li, Zhongying Zhao

Eliciting Kemeny Rankings

Anne-Marie George, Christos Dimitrakakis

Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis

Daniil Averkov, Tatiana Belova, Gregory Emdin et al.

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization

Kwangryeol Park, Seulki Lee

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval

Rui Cai, Zhiyu Dong, Jianfeng Dong et al.

Hansel: Output Length Controlling Framework for Large Language Models

Seoha Song, Junhyun Lee, Hyeonmok Ko

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation

Aram Davtyan, Sepehr Sameni, Björn Ommer et al.

Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis

Furong Ye, Chuan Luo, Shaowei Cai

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates

Puning Zhao, Jiafei Wu, Zhe Liu et al.

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning

Jianqing Liang, Xinkai Wei, Min Chen et al.

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection

Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.

Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models

Maksim Gladyshev, Natasha Alechina, Mehdi Dastani et al.

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning

Yaoquan Wei, Shunyu Liu, Jie Song et al.

SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training

Jiaxing Yu, Xinda Wu, Yunfei Xu et al.

Fair Federated Survival Analysis

Md Mahmudur Rahman, Sanjay Purushotham

Class Semantic Attribute Perception Guided Zero-Shot Learning

Qin Yue, Junbiao Cui, Jianqing Liang et al.

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training

Joshua DeOliveira, Walter Gerych, Elke Rundensteiner

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling

Jinzong Dong, Zhaohui Jiang, Dong Pan et al.

M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking

Fang Wang, Shenglin Yin, Xiaoying Bai et al.

HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes

Guoqiu Li, Jin Song, Yiyun Fei

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks

Tony Gracious, Ambedkar Dukkipati

Confounding-Robust Deferral Policy Learning

Ruijiang Gao, Mingzhang Yin

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

Identification for Tree-Shaped Structural Causal Models in Polynomial Time

Aaryan Gupta, Markus Bläser

Geometry-Aware 3D Salient Object Detection Network

Chen Wang, Liyuan Zhang, Le Hui et al.

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Di Wu, Yuling Jiao, Li Shen et al.

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring

Ge Gao, Xi Yang, Min Chi

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks

Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka et al.

Know2Vec: A Black-Box Proxy for Neural Network Retrieval

Zhuoyi Shang, Yanwei Liu, Jinxia Liu et al.

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Hilal AlQuabeh, William de Vazelhes, Bin Gu

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network

Ziming Nie, Qiao Wu, Chenlei Lv et al.

CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder

Jianwei Cui, Yu Gu, Shihao Chen et al.

POI Recommendation via Multi-Objective Adversarial Imitation Learning

Zhenglin Wan, Anjun Gao, Xingrui Yu et al.

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang et al.

DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization

Qi Bi, Jingjun Yi, Hao Zheng et al.

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

Jiayu Wang, Yue Yu, Jingjing Chen et al.

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

Liuqing Chen, Shuhong Xiao, Shixian Ding et al.

Complete Symmetry Breaking for Finite Models

Marek Dančo, Mikoláš Janota, Michael Codish et al.

3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation

Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko et al.

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

Haocong Rao, Chunyan Miao

FairTP: A Prolonged Fairness Framework for Traffic Prediction

Jiangnan Xia, Yu Yang, Jiaxing Shen et al.

Adaptive Prototype Replay for Class Incremental Semantic Segmentation

Guilin Zhu, Dongyue Wu, Changxin Gao et al.

Attribute Inference Attacks for Federated Regression Tasks

Francesco Diana, Othmane Marfoq, Chuan Xu et al.

Layer Compression of Deep Networks with Straight Flows

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam 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.

Set-Valued Sensitivity Analysis of Deep Neural Networks

Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

On the Robustness of Distributed Machine Learning Against Transfer Attacks

Sebastien Andreina, Pascal Zimmer, Ghassan Karame

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints

Davide Scassola, Sebastiano Saccani, Ginevra Carbone et al.

How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation

Haodong Feng, Yue Wang, Dixia Fan

Towards Practical Classical Planning Compilations of Numeric Planning

Luigi Bonassi, Francesco Percassi, Enrico Scala

ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model

Yang Gu, Jian Cao, Hengyu You et al.

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models

Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P et al.

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning

Xing Lei, Xuetao Zhang, Donglin Wang

DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces

Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.

Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks

Xiyao Liu, Junxing Ma, Xinda Wang et al.

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong et al.

10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection

Hai Xia, Stefan Szeider

DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem

Jiaxin Liang, Junping Zhou, Minghao Yin

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework

Yushan Han, Hui Zhang, Honglei Zhang et al.

Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks

Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.

DDAE: Towards Deep Dynamic Vision BERT Pretraining

1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.

Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning

Yan Zhang, Guoqiang Wu, Bingzheng Wang et al.

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Yiliang Chen, Steven SC Ho, Cheng Xu et al.

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation

Yanglin Huang, Kai Hu, Yuan Zhang et al.

Temporal Action Localization with Cross Layer Task Decoupling and Refinement

Qiang Li, Di Liu, Jun Kong et al.

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering

Xinxin Wang, Yongshan Zhang, Yicong Zhou

SAT-Based Techniques for Lexicographically Smallest Finite Models

Mikoláš Janota, Choiwah Chow, João Araújo et al.

Hybrid Data-Free Knowledge Distillation

Jialiang Tang, Shuo Chen, Chen Gong

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization

Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do et al.

Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion

Kai Mao, Yiyang Lian, Yangyang Wang et al.

Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning

Yunbin Tu, Liang Li, Li Su et al.

DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields

Xingyu Zhu, Xiapu Luo, Xuetao Wei

Single-Loop Federated Actor-Critic across Heterogeneous Environments

Ye Zhu, Xiaowen Gong

GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction

Zesong Yang, Ru Zhang, Jiale Shi et al.

Supervised Score-Based Modeling by Gradient Boosting

Changyuan Zhao, Hongyang Du, Guangyuan Liu et al.

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

Serena Bono, Spandan Madan, Ishaan Grover et al.

Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction

Xinlong Zhai, Chunchen Wang, Ruijia Wang et al.

Small Language Model Makes an Effective Long Text Extractor

Yelin Chen, Fanjin Zhang, Jie Tang

WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition

Zicheng Wang, Qiuxia Wu

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels

Xin-yang Zhao, Jian Jin, Yang-yang Li et al.

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown et al.

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification

Kai Lv, Yunlong Li, Zhuo Chen et al.

Reasoning About Actual Causes in Nondeterministic Domains

Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv

Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation

Delin Pan, Jiansong Fan, Jie Zhu et al.

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning

Zhang Xiong, Cheng Xie, Haoran Duan et al.

Revisiting Open-Set Panoptic Segmentation

Yufei Yin, Hao Chen, Wengang Zhou et al.

Replicating Electoral Success

Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander et al.

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

Hefei Mei, Minjing Dong, Chang Xu

UAWTrack: Universal 3D Single Object Tracking in Adverse Weather

Yuxiang Yang, Hongjie Gu, Yingqi Deng et al.

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Michael Livanos, Ian Davidson, Stephen Wong

RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation

Zhaoyang Sun, Fei Du, Weihua Chen et al.

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution

Changxin Huang, Yanbin Chang, Junfan Lin et al.

PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning

Daniel Gnad, Lee-Or Alon, Eyal Weiss et al.

Memory-Reduced Meta-Learning with Guaranteed Convergence

Honglin Yang, Ji Ma, Xiao Yu

Exploiting Symmetries in MUS Computation

Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.

Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models

Rui Jiang, Xinghe Fu, Guangcong Zheng et al.

Learning Causal Transition Matrix for Instance-dependent Label Noise

Jiahui Li, Tai-Wei Chang, Kun Kuang et al.

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs

Sergio Rozada, Dongsheng Ding, Antonio G. Marques et al.