Most Cited 2025 "hardware robotic control" Papers
22,274 papers found • Page 60 of 112
Conference
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
Yu Wang, Yunfei Liu, Fa-Ting Hong et al.
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
Peng Xue, Wei Fang, Zhengyu Ma et al.
TdAttenMix: Top-Down Attention Guided Mixup
Zhiming Wang, Lin Gu, Feng Lu
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
Ziheng Cheng, Tianyu Xie, Shiyue Zhang et al.
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu et al.
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation
Dongyue Wu, Zilin Guo, Li Yu et al.
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning
Hongjing Wu, Siyuan Yao, Feng Huang et al.
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
Zhengqian Wu, Ruizhe Li, Zijun Xu et al.
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis
Zhenhua Wu, Linxuan Jiang, Xiang Li et al.
Relaxed Rotational Equivariance via G-Biases in Vision
Zhiqiang Wu, Yingjie Liu, Licheng Sun et al.
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
Mathieu Chevalley, Patrick Schwab, Arash Mehrjou
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Haoran Xu, Peixi Peng, Xinyi Zhang et al.
Physical-aware Neural Radiance Fields for Efficient Exposure Correction
Kai Xu, Mingwen Shao, Yuanjian Qiao et al.
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
Wenting Xu, Viorela Ila, Luping Zhou et al.
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
Aoru Xue, Yiming Ren, Zining Song et al.
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Wangyu Xue, Chen Qian, Jiayi Wu et al.
Towards Universal Rainy Image Restoration: Benchmark and Baseline
Hujie Yan
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
Guoyuan Yang, Mufan Xue, Ziming Mao et al.
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
Jiarui Yang, Chuan Wang, Jun Zhang et al.
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
Yudong Zhang, Xuan Yu, Xu Wang et al.
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models
Xinye Yang, Yuxin Yang, Haoran Pang et al.
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li et al.
Exploring Salient Object Detection with Adder Neural Networks
Bo-Wen Yin, Zheng Lin
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
Hao Yu, Haoyu Chen, Wei Peng et al.
Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
Donggoo Jung, Daehyun Kim, Tae Hyun Kim
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
Yiheng Yu, Sheng Liu, Yuan Feng et al.
REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
Yonatan Sverdlov, Ido Springer, Nadav Dym
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
An Asynchronous Bundle Method for Distributed Learning Problems
Daniel Cederberg, Xuyang Wu, Stephen Boyd et al.
MIND over Body: Adaptive Thinking using Dynamic Computation
Mrinal Mathur, Barak Pearlmutter, Sergey Plis
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Pengyu Zhang, Xieyuanli Chen, Yuwei Chen et al.
DZAD: Diffusion-based Zero-shot Anomaly Detection
Tianrui Zhang, Liang Gao, Xinyu Li et al.
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
Xiang Zhang, Yufei Cui, Chenchen Fu et al.
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.
Leave-One-Out Stable Conformal Prediction
Kiljae Lee, Yuan Zhang
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Zekai Zhang, Qinghui Chen, Maomao Xiong et al.
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Shu Zhao, Tan Yu, Xiaoshuai Hao et al.
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Rasoul Shafipour, David Harrison, Maxwell Horton et al.
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval
Zhiqian Zhao, Liang Li, Jiehua Zhang et al.
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang et al.
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong, Weize Quan, Dong-Ming Yan et al.
Polarization Guided Mask-Free Shadow Removal
Chu Zhou, Chao Xu, Boxin Shi
Position-Aware Guided Point Cloud Completion with CLIP Model
Feng Zhou, Qi Zhang, Ju Dai et al.
Optimizing Label Assignment for Weakly Supervised Person Search
Haiyang Zhu, Xi Yang, Nannan Wang
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
Xingyu Zhu, Guanhui Ye, Chengdong Dong et al.
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
Yan Zhu, Huan Ma, Changqing Zhang
Breaking Symmetries in Quantified Graph Search: A Comparative Study
Mikoláš Janota, Markus Kirchweger, Tomáš Peitl et al.
Online Prompt Selection for Program Synthesis
Yixuan Li, Lewis Frampton, Federico Mora et al.
Generalizing Constraint Models in Constraint Acquisition
Dimos Tsouros, Senne Berden, Steven Prestwich et al.
Towards Projected and Incremental Pseudo-Boolean Model Counting
Suwei Yang, Kuldeep S. Meel
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
Hongliang Chi, Qiong Wu, Zhengyi Zhou et al.
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
Order-aware Interactive Segmentation
Bin Wang, Anwesa Choudhuri, Meng Zheng et al.
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
Lingbing Guo, Yichi Zhang, Zhongpu Bo et al.
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
Junfeng Kang, Rui Li, Qi Liu et al.
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval
Mingjin Kuai, Jun Long, Zhan Yang
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Sanghyuck Lee, Sangkeun Park, Jaesung Lee
Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation
Tianyi Bao, Xinyu Ye, Hang Ruan et al.
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo, Yiwen Chen, Yiqing Wu et al.
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis
Haiping Ma, Yue Yao, Changqian Wang et al.
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao, Yan Lin, Shengnan Guo et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun et al.
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
Changqian Wang, Shangshang Yang, Siyu Song et al.
Intent Oriented Contrastive Learning for Sequential Recommendation
Wuhong Wang, Jianhui Ma, Yuren Zhang et al.
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Yihao Wang, Jiajie Su, Chaochao Chen et al.
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
Zijian Wang, Bin Wang, Haifeng Jing et al.
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Cheng Wu, Liang Su, Chaokun Wang et al.
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
Kaichen Xu, Qilong Wu, Yan Lu et al.
Out-of-Distribution Generalization on Graphs via Progressive Inference
Yiming Xu, Bin Shi, Zhen Peng et al.
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye, Wen Wu, Guoqing Wang et al.
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
Jie Zhao, Chao Chen, Yuanshao Zhu et al.
Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
Minhak Song, Beomhan Baek, Kwangjun Ahn et al.
Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling
Yuwei Cheng, Fan Yao, Xuefeng Liu et al.
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
Swing-by Dynamics in Concept Learning and Compositional Generalization
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana et al.
A Differentiable Rank-Based Objective for Better Feature Learning
Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels
Yonatan Slutzky, Yotam Alexander, Noam Razin et al.
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
Yuwei Luo, Mohsen Bayati
The Complexity of Extending Fair Allocations of Indivisible Goods
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
Last-iterate Convergence in Regularized Graphon Mean Field Game
Jing Dong, Baoxiang Wang, Yaoliang Yu
Graph Neural Networks Can (Often) Count Substructures
Paolo Pellizzoni, Till Schulz, Karsten Borgwardt
Distances Between Top-Truncated Elections of Different Sizes
Piotr Faliszewski, Jitka Mertlová, Pierre Nunn et al.
MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
Leon Hetzel, Johanna Sommer, Bastian Rieck et al.
Proportionally Fair Makespan Approximation
Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective
Alexander Lam, Bo Li, Ankang Sun
On the Convergence of Tâtonnement for Linear Fisher Markets
Tianlong Nan, Yuan Gao, Christian Kroer
Understanding EFX Allocations: Counting and Variants
Tzeh Yuan Neoh, Nicholas Teh
Fair and Efficient Completion of Indivisible Goods
Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish
Facility Location Games with Optional Preferences: A Revisit
Xingchen Sha, Shuyu Bao, Hau Chan et al.
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
Xiaoyu Cui, Weixing Chen, Jiandong Su
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Yuhe Nie, Michael Middleton, Tim Merino et al.
Durable Quantization Conditioned Misalignment Attack on Large Language Models
Peiran Dong, Haowei Li, Song Guo
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu et al.
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation
Lars Bengel, Giovanni Buraglio, Jan Maly et al.
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
Jing-An Sun, Hang Fan, Junchao Gong et al.
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
Jorge Fandinno, Zachary Hansen
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
Liangda Fang, Xiaoman Wang, Zhang Chen et al.
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
Till Hofmann, Jens Claßen
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
Spencer Killen, Jia-Huai You, Jesse Heyninck
Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases
Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
Residual Deep Gaussian Processes on Manifolds
Kacper Wyrwal, Andreas Krause, Viacheslav (Slava) Borovitskiy
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
Ruolin Wang, Yuejiao Xu, Jianmin Ji
Goal-Driven Reasoning in DatalogMTL with Magic Sets
Shaoyu Wang, Kaiyue Zhao, Dongliang Wei et al.
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
Amr Abourayya, Jens Kleesiek, Kanishka Rao et al.
Bootstrapped Reward Shaping
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin et al.
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Seunghwan An, Gyeongdong Woo, Jaesung Lim et al.
Unleashing the Potential of Model Bias for Generalized Category Discovery
Wenbin An, Haonan Lin, Jiahao Nie et al.
PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance
Qijun Gan, Song Wang, Shengtao Wu et al.
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
András Balogh, Márk Jelasity
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
Matej Benko, Iwona Chlebicka, Jorgen Endal et al.
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen, Denis Krompaß, Jindong Gu et al.
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang et al.
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
MingCai Chen, Yuntao Du, Wenyu Jiang et al.
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
Yu Chen, Shuai Zheng, Nianyi Wang et al.
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
Junwei Cheng, Chaobo He, Pengxing Feng et al.
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michele Sebag, Kento Uemura et al.
On the Hardness of Training Deep Neural Networks Discretely
Ilan Doron-Arad
Learning Regularization for Graph Inverse Problems
Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine, Alexandre Forel, Idriss Malek et al.
Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
Jungwon Park, Jungmin Ko, Dongnam Byun et al.
Inner Information Analysis Algorithm for Deep Neural Network based on Community
Guipeng Lan, Shuai Xiao, Meng Xi et al.
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han, Haocong Wang, Yupeng Hu et al.
Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Zaiquan Yang, Yuhao LIU, Gerhard Hancke et al.
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou et al.
Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline
Hongjoon Ahn, Jinu Hyeon, Youngmin Oh et al.
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
Huiqun Huang, Sihong He, Fei Miao
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
Zijian Huang, Wenda Chu, Linyi Li et al.
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
Sarith Imaduwage
Isometric Regularization for Manifolds of Functional Data
Hyeongjun Heo, Seonghun Oh, JaeYong Lee et al.
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang et al.
Privacy-Aware Lifelong Learning
Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
Xianqi Jiao, Jia Liu, Zhiping Chen
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim, Sang Woo Kim
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Hyeonjin Kim, Jaejun Yoo
Test-time Adaptation for Image Compression with Distribution Regularization
Kecheng Chen, Pingping Zhang, Tiexin Qin et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
Hyunsu Kim, Giung Nam, Chulhee Yun et al.
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Song Lai, Zhe Zhao, Fei Zhu et al.
Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach
Hebei Li, Yansong Peng, Jiahui Yuan et al.
Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
Merey Ramazanova, Alejandro Pardo, Bernard Ghanem et al.
Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach
Victor O. K. Li, Yang Han, Jacqueline C. K. Lam
QPM: Discrete Optimization for Globally Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
Tian Liang, Yuetian Du, Jing Huang et al.
Efficient Reinforcement Learning in Probabilistic Reward Machines
Xiaofeng Lin, Xuezhou Zhang
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
Ao Liu, Wenshan Li, Tao Li et al.
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li, Qian Long, Jian (Skyler) Zheng et al.
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
Hui Liu, Shikai Jin
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Kuanghong Liu, Jin Wang, Kangjian He et al.
Efficient Multi-Policy Evaluation for Reinforcement Learning
Shuze Daniel Liu, Claire Chen, Shangtong Zhang
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Xinyang Liu, Pengchao Han, Xuan Li et al.
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
Yujing Liu, Zongqian Wu, Zhengyu Lu et al.
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
Tao Long, Lei Zhang, Liang Zhang et al.
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.
Local Causal Discovery for Structural Evidence of Direct Discrimination
Jacqueline Maasch, Kyra Gan, Violet Chen et al.
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
Anay Majee, Maria Xenochristou, Wei-Peng Chen
Towards Faster Decentralized Stochastic Optimization with Communication Compression
Rustem Islamov, Yuan Gao, Sebastian Stich
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John W. Sheppard
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
Trang Nguyen, Anh Tran, Nhat Ho
Environment Inference for Learning Generalizable Dynamical System
Shixuan Liu, Yue He, Haotian Wang et al.
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
Learning 3D Perception from Others' Predictions
Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan et al.
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Naoki Sato, Hideaki Iiduka
General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan et al.
Protecting against simultaneous data poisoning attacks
Neel Alex, Muhammad Shoaib Ahmed Siddiqui, Amartya Sanyal et al.
Functional Connectomes of Neural Networks
Tananun Songdechakraiwut, Yutong Wu
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
PeiYuan Tang, Xiaodong Zhang, Chunze Yang et al.
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
Fei Ye, Adrian G. Bors, Kun Zhang
Toward Relative Positional Encoding in Spiking Transformers
Changze Lv, Yansen Wang, Dongqi Han et al.
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Nicola Tatzel, Bálint Mucsányi, Osane Hackel et al.
A Theory of Initialisation's Impact on Specialisation
Devon Jarvis, Sebastian Lee, Clementine Domine et al.
Semi-Implicit Neural Ordinary Differential Equations
Hong Zhang, Ying Liu, Romit Maulik
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
Morgan B Talbot, Gabriel Kreiman, James DiCarlo et al.
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.
Privately Counting Partially Ordered Data
Matthew Joseph, Mónica Ribero, Alexander Yu
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction
Zhanwei Zhang, Minghao Chen, Zhihong Gu et al.
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
Zichi Zhang, Tuan Dung Pham, Yimeng An et al.
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao, Junyu Luo, Xiao Luo et al.
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
Orin Levy, Liad Erez, Alon Peled-Cohen et al.
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Guojin Chen, Haoyu Yang, Bei Yu et al.
Optimising Spatial Teamwork Under Uncertainty
Gregory Everett, Ryan J. Beal, Tim Matthews et al.
Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures
Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
Dapeng Li, Na Lou, Zhiwei Xu et al.