Most Cited NEURIPS "balanced classification loss" Papers
5,858 papers found • Page 16 of 30
Conference
Image Super-Resolution with Guarantees via Conformalized Generative Models
Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes
Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan et al.
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye, Stefan Haufe, Lars Kai Hansen
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
Lexiang Xiong, Liu Chengyu, Jingwen Ye et al.
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge
Zaifei Yang, Hong Chang, RuiBing Hou et al.
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
Weihan Xu, Yimeng Ma, Jingyue Huang et al.
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
Yash Jhaveri, Harley Wiltzer, Patrick Shafto et al.
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
Daksh Mittal, Leon Li, Thomson Yen et al.
BitMark: Watermarking Bitwise Autoregressive Image Generative Models
Louis Kerner, Michel Meintz, Bihe Zhao et al.
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
Xiaoyu Zhan, Wenxuan Huang, Hao Sun et al.
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
Sean Lamont, Christian Walder, Amir Dezfouli et al.
The Impact of Coreset Selection on Spurious Correlations and Group Robustness
Amaya Dharmasiri, William Yang, Polina Kirichenko et al.
Concept Incongruence: An Exploration of Time and Death in Role Playing
Xiaoyan Bai, Ike Peng, Aditya Singh et al.
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
Chunyu Wei, Wenji Hu, Xingjia Hao et al.
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
Harry Amad, Zhaozhi Qian, Dennis Frauen et al.
Graph Neural Network Based Action Ranking for Planning
Rajesh Mangannavar, Stefan Lee, Alan Fern et al.
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Jeffrey Alido, Tongyu Li, Yu Sun et al.
Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
Hyunjin Kim, Haebeom Jung, Jaesik Park
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
Dogyun Park, Taehoon Lee, Minseok Joo et al.
Parameterized Synthetic Text Generation with SimpleStories
Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
Houssam Zenati, Bariscan Bozkurt, Arthur Gretton
Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins
ZAIXI ZHANG, Ruofan Jin, Le Cong et al.
SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds
Xiaokang Ye, Jiawei Ren, Yan Zhuang et al.
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao, Haori Lu, Linlan Huang et al.
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
David Burt, Renato Berlinghieri, Stephen Bates et al.
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
Jiajun Fan, Tong Wei, Chaoran Cheng et al.
Balancing Performance and Costs in Best Arm Identification
Michael Harding, Kirthevasan Kandasamy
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Xiaomeng Fan, Yuchuan Mao, Zhi Gao et al.
Learning to Generate Human-Human-Object Interactions from Textual Descriptions
Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries
Joy Hsu, Emily Jin, Jiajun Wu et al.
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
Hoigi Seo, Dong Un Kang, Hyunjin Cho et al.
Enhancing CLIP Robustness via Cross-Modality Alignment
Xingyu Zhu, Beier Zhu, Shuo Wang et al.
TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics
Tianrong Chen, Huangjie Zheng, David Berthelot et al.
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
Zhuo Cao, Xuan Zhao, Lena Krieger et al.
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai, Qianqian Xu, Peisong Wen et al.
Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior
Leo Segre, Shai Avidan
Deep Compositional Phase Diffusion for Long Motion Sequence Generation
Ho Yin Au, Jie Chen, Junkun Jiang et al.
Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
Jingwen Cheng, Ruikun Li, Huandong Wang et al.
Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones
Daking Rai, Samuel Miller, Kevin Moran et al.
Activated LoRA: Fine-tuned LLMs for Intrinsics
Kristjan Greenewald, Luis Lastras, Thomas Parnell et al.
Subsampled Ensemble Can Improve Generalization Tail Exponentially
Huajie Qian, Donghao Ying, Henry Lam et al.
Semantic Representation Attack against Aligned Large Language Models
Jiawei Lian, Jianhong Pan, Lefan Wang et al.
FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
Guy Moss, Leah Muhle, Reinhard Drews et al.
Graph Alignment via Birkhoff Relaxation
Sushil Varma, Irène Waldspurger, Laurent Massoulié
Future Link Prediction Without Memory or Aggregation
Lu Yi, Runlin Lei, Fengran Mo et al.
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting
Yiming Wang, Lucy Chai, Xuan Luo et al.
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio et al.
State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
Jiahuan Zhou, Kai Zhu, Zhenyu Cui et al.
Resolution of Simpson's paradox via the common cause principle
Arshak Hovhannisyan, Armen Allahverdyan
Simulation-Based Inference for Adaptive Experiments
Brian Cho, Aurelien Bibaut, Nathan Kallus
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
Praneet Suresh, Jack Stanley, Sonia Joseph et al.
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer et al.
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
Yankai Chen, Xinni Zhang, Yifei Zhang et al.
Position: Benchmarking is Broken - Don't Let AI be Its Own Judge
Zerui Cheng, Stella Wohnig, Ruchika Gupta et al.
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
Alessandro Serra, Francesco Ortu, Emanuele Panizon et al.
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
Qiang Xiang, Shuang Sun, Binglei Li et al.
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
Zihao Jing, Yan Sun, Yan Yi Li et al.
RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models
Shikun Liu, Deyu Zou, Nima Shoghi et al.
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer, Boaz Nadler
RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
YANG SONGXIAO, Haolin Wang, Yao Fu et al.
VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image
Sicheng Xu, Guojun Chen, Jiaolong Yang et al.
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.
Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
WEIMING ZHANG, Dingwen Xiao, Aobotao DAI et al.
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
Samuel Lavoie, Michael Noukhovitch, Aaron Courville
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
Sungho Jeon, Xinyue Ma, Kwang In Kim et al.
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan, Michal Moshkovitz, Guy Katz
Sound Logical Explanations for Mean Aggregation Graph Neural Networks
Matthew Morris, Ian Horrocks
Confounding Robust Deep Reinforcement Learning: A Causal Approach
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine, Simone Azeglio, Carlo Paris et al.
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
Marco Sälzer, Przemyslaw Walega, Martin Lange
Web-Scale Collection of Video Data for 4D Animal Reconstruction
Brian Nlong Zhao, Jiajun Wu, Shangzhe Wu
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan et al.
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
Yangfu Li, Hongjian Zhan, Tianyi Chen et al.
Bubbleformer: Forecasting Boiling with Transformers
Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv et al.
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
Thang Bui, Michalis Titsias
Improving Progressive Generation with Decomposable Flow Matching
Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov et al.
Subgraph Federated Learning via Spectral Methods
Javad Aliakbari, Johan Oestman, Ashkan Panahi et al.
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
Online Segment Any 3D Thing as Instance Tracking
Hanshi Wang, Cai Zijian, Jin Gao et al.
Eluder dimension: localise it!
Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.
Non-Markovian Discrete Diffusion with Causal Language Models
Yangtian Zhang, Sizhuang He, Daniel Levine et al.
Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
Xingguang Wei, Haomin Wang, Shenglong Ye et al.
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
Alex Chouldechova, A. Feder Cooper, Solon Barocas et al.
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
Yeongbin Seo, Dongha Lee, Jaehyung Kim et al.
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
Pengbo Wang, Chaozhuo Li, Chenxu Wang et al.
Tight analyses of first-order methods with error feedback
Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut
Learning Interestingness in Automated Mathematical Theory Formation
George Tsoukalas, Rahul Saha, Amitayush Thakur et al.
DPA: A one-stop metric to measure bias amplification in classification datasets
Bhanu Tokas, Rahul Nair, Hannah Kerner
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
Thanh-Dat Truong, Huu-Thien Tran, Tran Son et al.
Effects of Dropout on Performance in Long-range Graph Learning Tasks
Jasraj Singh, Keyue Jiang, Brooks Paige et al.
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space
Zitao Chen, Yinjun Jia, Zitong Tian et al.
UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle et al.
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
Zhichao Wang, Xinhai Chen, Qinglin Wang et al.
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
Zixuan Xie, Xinyu Liu, Rohan Chandra et al.
Rescaled Influence Functions: Accurate Data Attribution in High Dimension
Ittai Rubinstein, Samuel Hopkins
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
Jin Li, Zezhong Ding, Xike Xie
Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality
Junyan Liu, Ziyun Chen, Kun Wang et al.
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
Yue Guan, Changming Yu, Shihan Fang et al.
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
Zhijian Zhou, Xunye Tian, Liuhua Peng et al.
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
Honghao Chen, Xingzhou Lou, Xiaokun Feng et al.
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
Yiyao Ma, Kai Chen, Kexin ZHENG et al.
The Parameterized Complexity of Computing the VC-Dimension
Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney et al.
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
Zelin Peng, Zhengqin Xu, Qingyang Liu et al.
Attention-based clustering
Rodrigo Maulen Soto, Pierre Marion, Claire Boyer
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Changxin Ke, Rui Zhang, Shuo Wang et al.
GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification
Qiao Li, Jie Li, Yukang Zhang et al.
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
Junsheng Zhou, XingYu Shi, Haichuan Song et al.
Minimax Adaptive Online Nonparametric Regression over Besov spaces
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
Hsiang Hsu, Pradeep Niroula, Zichang He et al.
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem
Hong Wang, Yixuan Jiang, Jie Wang et al.
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
Shulun Chen, Runlong Zhou, Zihan Zhang et al.
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
Ryotaro Kawata, Yujin Song, Alberto Bietti et al.
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
Yuanchuan Guo, Jun Liu, Huimin Cheng et al.
Rotary Masked Autoencoders are Versatile Learners
Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi et al.
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu et al.
IF-Guide: Influence Function-Guided Detoxification of LLMs
Zachary Coalson, Juhan Bae, Nicholas Carlini et al.
Simulating Society Requires Simulating Thought
Chance Jiajie Li, Jiayi Wu, Zhenze MO et al.
Dataset Distillation for Pre-Trained Self-Supervised Vision Models
George Cazenavette, Antonio Torralba, Vincent Sitzmann
Strategic Cost Selection in Participatory Budgeting
Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk et al.
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
Evaluating Program Semantics Reasoning with Type Inference in System $F$
Yifeng He, Luning Yang, Christopher Gonzalo et al.
Optimal kernel regression bounds under energy-bounded noise
Amon Lahr, Johannes Köhler, Anna Scampicchio et al.
Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
Alicia Zeng, Jack Gallant
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
Hancheng Min, Zhihui Zhu, Rene Vidal
$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Pei Zhou, Wanting Yao, Qian Luo et al.
Scalable Valuation of Human Feedback through Provably Robust Model Alignment
Masahiro Fujisawa, Masaki Adachi, Michael A Osborne
Contextual Dynamic Pricing with Heterogeneous Buyers
Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor et al.
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation
Tao Liu, Chongyu Wang, Rongjie Li et al.
Transferring Linear Features Across Language Models With Model Stitching
Alan Chen, Jack Merullo, Alessandro Stolfo et al.
Rethinking Approximate Gaussian Inference in Classification
Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig
Efficient Large Language Model Inference with Neural Block Linearization
Mete Erdogan, Francesco Tonin, Volkan Cevher
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
Tianhao Chen, Xin Xu, Zijing Liu et al.
Sequential Multi-Agent Dynamic Algorithm Configuration
Chen Lu, Ke Xue, Lei Yuan et al.
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
Sophia Han, Howard Dai, Stephen Xia et al.
Contribution of task-irrelevant stimuli to drift of neural representations
Farhad Pashakhanloo
FlashBias: Fast Computation of Attention with Bias
Haixu Wu, Minghao Guo, Yuezhou Ma et al.
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
Yutong Wang, Haiyu Wang, Sai Qian Zhang
Multitask Learning with Stochastic Interpolants
Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.
Thresholds for sensitive optimality and Blackwell optimality in stochastic games
Stephane Gaubert, Julien Grand-Clément, Ricardo Katz
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
Truong Buu Phan, Ashish Khisti
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
Elena Zamaraeva, Christopher Collins, George Darling et al.
Oracle-Efficient Combinatorial Semi-Bandits
Jung-hun Kim, Milan Vojnovic, Min-hwan Oh
VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video
King Yiu Brandon Man, Ghadi Nehme, Md Ferdous Alam et al.
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Dung et al.
Impact of Layer Norm on Memorization and Generalization in Transformers
Rishi Singhal, Jung-Eun Kim
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke Brown et al.
Neurons as Detectors of Coherent Sets in Sensory Dynamics
Joshua L Pughe-Sanford, Xuehao Ding, Jason Moore et al.
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi et al.
Probing Neural Combinatorial Optimization Models
Zhiqin Zhang, Yining Ma, Zhiguang Cao et al.
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
Zelai Xu, Ruize Zhang, Chao Yu et al.
Optimal community detection in dense bipartite graphs
Julien Chhor, Parker Knight
Fast MRI for All: Bridging Access Gaps by Training without Raw Data
Yasar Utku Alcalar, Merve Gulle, Mehmet Akcakaya
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
Taoran Zheng, Yan Yang, Xing Li et al.
Sequentially Auditing Differential Privacy
Tomás González Lara, Mateo Dulce Rubio, Aaditya Ramdas et al.
Balancing Gradient and Hessian Queries in Non-Convex Optimization
Deeksha Adil, Brian Bullins, Aaron Sidford et al.
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Cynthia Dwork, Lunjia Hu, Han Shao
Long-tailed Recognition with Model Rebalancing
JIAAN LUO, Feng Hong, Qiang Hu et al.
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
Minseok Kang, Minhyeok Lee, Minjung Kim et al.
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li, Xujiang Zhao, Linlin Yu et al.
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
Pengfei Zhao, Rongbo Luan, Wei Zhang et al.
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
Martingale Posterior Neural Networks for Fast Sequential Decision Making
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea et al.
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath et al.
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
Erel Naor, Ofir Lindenbaum
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
Danni Yang, Zhikang Chen, Sen Cui et al.
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu et al.
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
Donghoon Ahn, Jiwon Kang, Sanghyun Lee et al.
Taxonomy of reduction matrices for Graph Coarsening
Antonin Joly, Nicolas Keriven, Aline Roumy
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
Wei Huang, Hanchen Wang, Dong Wen et al.
Planning and Learning in Average Risk-aware MDPs
Weikai Wang, Erick Delage
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
Jongchan Park, Mingyu Park, Donghwan Lee
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
Ruyue Liu, Rong Yin, Xiangzhen Bo et al.
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
Eray Erturk, Maryam Shanechi
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
Zhiwei Yang, Chen Gao, Mike Zheng Shou
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
Nguyen Do, Bach Ngo, Youval Kashuv et al.
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Anda Tang, Yiming Dong, Yutao Zeng et al.
From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Zheng-An Chen, Tao Luo
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov, Anna Sonnweber, Daniel Cremers
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics
Reece Keller, Alyn Kirsch, Felix Pei et al.
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
Hector Pasten, Felipe Urrutia, Hector Orellana et al.
Fast exact recovery of noisy matrix from few entries: the infinity norm approach
BaoLinh Tran, Van Vu
ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
Yuhong CHOU, Zehao Liu, Rui-Jie Zhu et al.
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi et al.
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Indrashis Das, Mahmoud Safari, Steven Adriaensen et al.
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal et al.
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
Jisung Hwang, Jaihoon Kim, Minhyuk Sung
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
Pu Yang, Yunzhen Feng, Ziyuan Chen et al.
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
Lin Guo, Xiaoqing Luo, Wei Xie et al.
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
Kai Yan, Zhan Ling, Kang Liu et al.