Most Cited 2025 "squared error loss" Papers
22,274 papers found • Page 64 of 112
Conference
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.
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.
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
Yiheng Yu, Sheng Liu, Yuan Feng et al.
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
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.
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.
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
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
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
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.
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
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
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
Distances Between Top-Truncated Elections of Different Sizes
Piotr Faliszewski, Jitka Mertlová, Pierre Nunn 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
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Yuhe Nie, Michael Middleton, Tim Merino et al.
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.
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.
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.
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.
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.
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han, Haocong Wang, Yupeng Hu et al.
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou 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
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
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
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.
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
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.
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.
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
Anay Majee, Maria Xenochristou, Wei-Peng Chen
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
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
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
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan 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
Semi-Implicit Neural Ordinary Differential Equations
Hong Zhang, Ying Liu, Romit Maulik
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.
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.
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.
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
Thomy Phan, Benran Zhang, Shao-Hung Chan et al.
Windowed MAPF with Completeness Guarantees
Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li et al.
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
Weihong Bi, Feifei Kou, Lei Shi et al.
Detecting Music Performance Errors with Transformers
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
Shaobo Cui, Junyou Li, Luca Mouchel et al.
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis
João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Xuan Feng, Tianlong Gu, Xiaoli Liu et al.
Multi-Branch Self-Drafting for LLM Inference Acceleration
Zipeng Gao, Qingrong Xia, Tong Xu et al.
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion
Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah et al.
DocMamba: Efficient Document Pre-training with State Space Model
Pengfei Hu, Zhenrong Zhang, Jiefeng Ma et al.
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Zhongquan Jian, Yanhao Chen, Jiajian Li et al.
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
Jiaang Li, Quan Wang, Zhongnan Wang et al.
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
Yanhua Li, Xiaocao Ouyang, Chaofan Pan et al.
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue et al.
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Zeqing Qin, Yiwei Wu, Lansheng Han
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
Tianyu Ren, Hui Wang, Karen Rafferty
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
Tom Segal, Asaf Shabtai, Yuval Elovici
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu et al.
Is Your Image a Good Storyteller?
Xiujie Song, Xiaoyi Pang, Haifeng Tang et al.
Tradutor: Building a Variety Specific Translation Model
Hugo Sousa, Satya Almasian, Ricardo Campos et al.
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
Linqin Wang, Yaping Liu, Zhengtao Yu et al.
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang, Jiawei Zhang, Jun Wang et al.
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
Jiate Li, Meng Pang, Binghui Wang
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen, Tang Li, Xi Peng
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell et al.
On Shallow Planning Under Partial Observability
Randy Lefebvre, Audrey Durand
Formally Verified Approximate Policy Iteration
Maximilian Schäffeler, Mohammad Abdulaziz
Counting and Reasoning with Plans
David Speck, Markus Hecher, Daniel Gnad et al.
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Tom Davot, Jessica Enright, Jayakrishnan Madathil et al.
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Per Kristian Lehre, Shishen Lin
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.
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Suxin Tong, Jingling Yuan
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
Alexander Tyurin
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
Haoming Wang, Wei Gao
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
Jia Wang, Yawen Li, Yingxia Shao et al.
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification
Leilei Wang, Si Shi, Fei Ma et al.
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
Yizhi Wang, Weijia Zhang, Min-Ling Zhang
Multi-View Multi-Label Classification via View-Label Matching Selection
Hao Wei, Yongjian Deng, Qiuru Hai et al.
Non-Convex Tensor Recovery from Local Measurements
Tongle Wu, Ying Sun, Jicong Fan
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.
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo et al.
Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization
Xinyu Luo, Cedar Site Bai, Bolian Li et al.
On the Provable Separation of Scales in Maximal Update Parameterization
Letong Hong, Zhangyang “Atlas” Wang
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
Tuan Dam, Pascal Stenger, Lukas Schneider et al.
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
Alessio Russo, Aldo Pacchiano
Categorical Schrödinger Bridge Matching
Grigoriy Ksenofontov, Aleksandr Korotin
The Role of Randomness in Stability
Max Hopkins, Shay Moran
Simple Path Structural Encoding for Graph Transformers
Louis Airale, Antonio Longa, Mattia Rigon et al.
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Zhiyao Ren, Siyuan Liang, Aishan Liu et al.
Scalable Sobolev IPM for Probability Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino et al.
Sample-Optimal Agnostic Boosting with Unlabeled Data
Udaya Ghai, Karan Singh