Most Cited NEURIPS "memory footprint optimization" Papers

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?

Paul Gölz, Nika Haghtalab, Kunhe Yang

FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning

Dongping Liao, Xitong Gao, Cheng-Zhong Xu

ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design

Qijun Zhang, Yao Lu, Mengming Li et al.

Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks

Fengmao Lyu, Jitong Lei, Guosheng Lin et al.

KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration

Dengwei Zhao, Shikui Tu, Yanan Sun et al.

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

Finlay Hudson, James Gardner, William Smith

MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition

Pranav Mamidanna, Thomas Klotz, Dimitrios Chalatsis et al.

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

Junjie Xing, Yeye He, Mengyu Zhou et al.

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm

Yang Chen, Menglin Zou, Jiaqi Zhang et al.

Quantifying Generalisation in Imitation Learning

Nathan Gavenski, Odinaldo Rodrigues

LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing

Hongquan He, Zhen Wang, Jingya Wang et al.

MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes

Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.

Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering

Kuicai Dong, CHANG YUJING, Shijie Huang et al.

Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation

Jinyang Li, Jack Williams, Nick McKenna et al.

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Jonas Kulhanek, Torsten Sattler

Disentangling Hyperedges through the Lens of Category Theory

Yoonho Lee, Junseok Lee, Sangwoo Seo et al.

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation

He Yang, Dongyi Lv, Song Ma et al.

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach

woohyeon Byeon, Giseung Park, Jongseong Chae et al.

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

Lishen Qu, Zhihao Liu, Shihao Zhou et al.

Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

Jianze Li, Jiezhang Cao, Zichen Zou et al.

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference

Álvaro Parafita, Tomas Garriga, Axel Brando et al.

STree: Speculative Tree Decoding for Hybrid State Space Models

Yangchao Wu, Zongyue Qin, Alex Wong et al.

PID-controlled Langevin Dynamics for Faster Sampling on Generative Models

Hongyi Chen, Jianhai Shu, Jingtao Ding et al.

STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology

Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

Jiawei Sun, Shuai Zhang, Hongkang Li et al.

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection

Dennis Wagner, Fabian Hartung, Justus Arweiler et al.

Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies

Efthymia Tsamoura, Kaifu Wang, Dan Roth

STAR: A Benchmark for Astronomical Star Fields Super-Resolution

WU KUO-CHENG, Guohang Zhuang, Jinyang Huang et al.

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Yu Shang, Peijie Liu, Yuwei Yan et al.

Beyond Benign Overfitting in Nadaraya-Watson Interpolators

Daniel Barzilai, Guy Kornowski, Ohad Shamir

Structure-Aware Spectral Sparsification via Uniform Edge Sampling

Kaiwen He, Petros Drineas, Rajiv Khanna

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang, Ke Li, Mingquan Liu et al.

MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.

Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability

Jiani Liu, Zhiyuan Wang, Zeliang Zhang et al.

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai, Naoya Takeishi, Takehisa Yairi

PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors

Xirui Jin, Renbiao Jin, Boying Li et al.

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Sang Choe, Hwijeen Ahn, Juhan Bae et al.

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu, Zihao Li, Ze Yang et al.

A unified framework for establishing the universal approximation of transformer-type architectures

Jingpu Cheng, Ting Lin, Zuowei Shen et al.

MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study

Yuqing Zhang, Yue Han, Shuanghe Zhu et al.

Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset

Ming Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.

Flexible inference for animal learning rules using neural networks

Yuhan Helena Liu, Victor Geadah, Jonathan Pillow

Panoptic Captioning: An Equivalence Bridge for Image and Text

Kun-Yu Lin, Hongjun Wang, Weining Ren et al.

AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents

Arman Zharmagambetov, Chuan Guo, Ivan Evtimov et al.

Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random

Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.

MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention

Can Yaras, Alec Xu, Pierre Abillama et al.

TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks

Fabio Brau, Maura Pintor, Antonio Cinà et al.

ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction

Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.

AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science

Chenyue Li, Wen Deng, Mengqian Lu et al.

Chain-of-Model Learning for Language Model

Xiaohua Wang, Kaitao Song, Xu Tan et al.

DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding

Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang

Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning

Haozhe Shan, Sun Minni, Lea Duncker

OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems

Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Jules Sintes, Ana Busic

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.

Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation

Geng Chen, Pengfei Ren, Xufeng Jian et al.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Haohan Chi, Huan-ang Gao, Ziming Liu et al.

FORLA: Federated Object-centric Representation Learning with Slot Attention

Guiqiu Liao, Matjaz Jogan, Eric Eaton et al.

Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification

Zhongao Zhou, Bin Yang, Wenke Huang et al.

Improving Monte Carlo Tree Search for Symbolic Regression

Zhengyao Huang, Daniel Huang, Tiannan Xiao et al.

Reinforcement Learning with Action Chunking

Qiyang Li, Zhiyuan (Paul) Zhou, Sergey Levine

Exploring Landscapes for Better Minima along Valleys

Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.

Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL

Juan Formanek, Omayma Mahjoub, Louay Nessir et al.

CamSAM2: Segment Anything Accurately in Camouflaged Videos

Yuli Zhou, Yawei Li, Yuqian Fu et al.

Spatially-aware Weights Tokenization for NeRF-Language Models

Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.

Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics

Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning

Junhao Shen, Haiteng Zhao, Yuzhe Gu et al.

Depth-Supervised Fusion Network for Seamless-Free Image Stitching

Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.

Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning

boheng liu, Ziyu Li, Chenghua Duan et al.

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Yinsicheng Jiang, Yao Fu, Yeqi Huang et al.

Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs

Houyi Li, Wenzhen Zheng, Qiufeng Wang et al.

Optimal Graph Clustering without Edge Density Signals

Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling

Yang Xiao, Jiashuo WANG, Ruifeng Yuan et al.

An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph

Tam Le, Truyen Nguyen, Hideitsu Hino et al.

All that structure matches does not glitter

Maya Martirossyan, Thomas Egg, Philipp Höllmer et al.

Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity

Qiyao Wei, Edward R Morrell, Lea Goetz et al.

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought

Cheng Yan, Felix Mohr, Tom Viering

Unfolding the Black Box of Recurrent Neural Networks for Path Integration

Tianhao Chu, Yuling Wu, Neil Burgess et al.

AGI-Elo: How Far Are We From Mastering A Task?

Shuo Sun, Yimin Zhao, Christina Lee et al.

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

Belinda Li, Been Kim, Zi Wang

Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning

Ye Liu, Zihan Ji, Hongmin Cai

Faster Video Diffusion with Trainable Sparse Attention

Peiyuan Zhang, Yongqi Chen, Haofeng Huang et al.

PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation

Chong Tang, Joseph Powell, Dirk Koch et al.

Value Diffusion Reinforcement Learning

Xiaoliang Hu, Fuyun Wang, Tong Zhang et al.

Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)

Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski et al.

MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification

Xinya Qin, Lu Bai, Lixin Cui et al.

Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games

Fivos Kalogiannis, Gabriele Farina

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space

Jinghong Zheng, Changlong Jiang, Yang Xiao et al.

The quest for the GRAph Level autoEncoder (GRALE)

Paul Krzakala, Gabriel Melo, Charlotte Laclau et al.

Kernel von Mises Formula of the Influence Function

Yaroslav Mukhin

Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models

Dhruva Karkada, James Simon, Yasaman Bahri et al.

GenSpace: Benchmarking Spatially-Aware Image Generation

Zehan Wang, Jiayang Xu, Ziang Zhang et al.

What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes

Candace Ross, Florian Bordes, Adina Williams et al.

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

Hengyu Liu, Chenxin Li, Zhengxin Li et al.

PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models

Lancheng Zou, Shuo Yin, Zehua Pei et al.

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

Lucas Morisset, Adrien Hardy, Alain Durmus

Computational Budget Should Be Considered in Data Selection

Weilin Wan, Weizhong Zhang, Cheng Jin

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought

Hanlin Zhu, Shibo Hao, Zhiting Hu et al.

Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers

Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.

Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster

Shriram M S, Xinyue Hao, Shihao Hou et al.

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Xiangchen Song, Jiaqi Sun, Zijian Li et al.

Test-Time Adaptive Object Detection with Foundation Model

Yingjie Gao, Yanan Zhang, Zhi Cai et al.

GLVD: Guided Learned Vertex Descent

Pol Caselles RIco, Francesc Moreno-Noguer

Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking

Hyunseop Kim, Juheon Jeong, Hanul Kim et al.

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris et al.

Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding

Haoran Zhou, Gim Hee Lee

Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe

Jia Nuo Liew, Shenghan Lin, Bowen Chen et al.

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

Xianghua Zeng, Hao Peng, Yicheng Pan et al.

EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents

Sungwoo Lee, Jungmin Lee, Sohee Kim et al.

Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models

Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.

Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks

Longde Huang, Oleksandr Balabanov, Hampus Linander et al.

QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution

Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.

MMPB: It’s Time for Multi-Modal Personalization

Jaeik Kim, Woojin Kim, Woohyeon Park et al.

DyMoDreamer: World Modeling with Dynamic Modulation

Boxuan Zhang, Runqing Wang, Wei Xiao et al.

Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning

Marlon Tobaben, Hibiki Ito, Joonas Jälkö et al.

EngiBench: A Framework for Data-Driven Engineering Design Research

Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.

NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes

Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.

Understanding while Exploring: Semantics-driven Active Mapping

Liyan Chen, Huangying Zhan, Hairong Yin et al.

Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy

Qing Zhao, Weijian Deng, Pengxu Wei et al.

Flow Matching Neural Processes

Hussen Abu Hamad, Dan Rosenbaum

Computable universal online learning

Dariusz Kalociński, Tomasz Steifer

Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling

Wentao Lu, Dong Nie, Pengcheng Xue et al.

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies

Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock et al.

Hierarchical Shortest-Path Graph Kernel Network

Jiaxin Wang, Wenxuan Tu, Jieren Cheng

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguang WU, Jiangxin Dong, Chengjian Li et al.

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

Zi Liang, Qingqing Ye, Xuan Liu et al.

Safely Learning Controlled Stochastic Dynamics

Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models

Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman et al.

Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming

Zhao Song, Jianfei Xue, Lichen Zhang

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.

Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability

Divya Jyoti Bajpai, Manjesh Kumar Hanawal

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks

Hongjin Qian, Zheng Liu, Chao Gao et al.

CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing

Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models

Xuan Liu, Siru Ouyang, Xianrui Zhong et al.

When and how can inexact generative models still sample from the data manifold?

Nisha Chandramoorthy, Adriaan de Clercq

L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias

jingxiao zhang, Shifei Ding, Jian Zhang et al.

On Logic-based Self-Explainable Graph Neural Networks

Alessio Ragno, Marc Plantevit, Céline Robardet

Elastic ViTs from Pretrained Models without Retraining

Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.

Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection

Yunqing Liu, Nan Zhang, Fangjun Wang et al.

Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning

RUIYAO MIAO, Junren Xiao, Shiya Tsang et al.

KAIROS: Scalable Model-Agnostic Data Valuation

Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.

An Investigation of Memorization Risk in Healthcare Foundation Models

Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.

Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry

Chengyuan Deng, Jie Gao, Kevin Lu et al.

STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals

Vaclav Voracek, Francesco Orabona

GeoClip: Geometry-Aware Clipping for Differentially Private SGD

Atefeh Gilani, Naima Tasnim, Lalitha Sankar et al.

Bézier Splatting for Fast and Differentiable Vector Graphics Rendering

Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition

Andy Zou, Maxwell Lin, Eliot Jones et al.

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks

Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.

OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states

Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.

Generative Caching for Structurally Similar Prompts and Responses

Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison Zhang, James Zou

Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU et al.

NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals

Shuai Huang, Huan Luo, Haodong Jing et al.

Large Language Diffusion Models

Shen Nie, Fengqi Zhu, Zebin You et al.

Distance-informed Neural Processes

Aishwarya Venkataramanan, Joachim Denzler

Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation

Woojin Kim, Jaeyoung Do

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays

Songchen Fu, Siang Chen, Shaojing Zhao et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill et al.

Planning with Quantized Opponent Models

XiaoPeng Yu, Kefan Su, Zongqing Lu

C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction

Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks

Vittorio Erba, Emanuele Troiani, Lenka Zdeborová et al.

Imitation Learning with Temporal Logic Constraints

Zining Fan, He Zhu

Vector Quantization in the Brain: Grid-like Codes in World Models

Xiangyuan Peng, Xingsi Dong, Si Wu

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation

Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.

Angular Constraint Embedding via SpherePair Loss for Constrained Clustering

Shaojie Zhang, Ke Chen

On the sample complexity of semi-supervised multi-objective learning

Tobias Wegel, Geelon So, Junhyung Park et al.

IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture

Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.

Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models

Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.

Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs

Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.

Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning

Baiyuan Chen, Shinji Ito, Masaaki Imaizumi

MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform

Yuan Chiang, Tobias Kreiman, Christine Zhang et al.

Learning-Augmented Online Bidding in Stochastic Settings

Spyros Angelopoulos, Bertrand Simon

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings

Aditya Sengar, Ali Hariri, Daniel Probst et al.

Efficient semantic uncertainty quantification in language models via diversity-steered sampling

Ji Won Park, Kyunghyun Cho

Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents

Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.

Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling

Yue Yang, Jinhao Li, Hao Wang

D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction

Kejing Xia, Jidong Jia, Ke Jin et al.

Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models

Junyi Li, Hwee Tou Ng

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Hang Hua, Ziyun Zeng, Yizhi Song et al.

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis

Yan Wu, Esther Wershof, Sebastian Schmon et al.

LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models

Yihao LIU, Xinqi Lyu, Dong Wang et al.

Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks

Hang Yu, Lyumin Wu, Wenxin Zhou et al.

Improving Deep Learning for Accelerated MRI With Data Filtering

Kang Lin, Anselm Krainovic, Kun Wang et al.

Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video

Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.

Scaling Up Parameter Generation: A Recurrent Diffusion Approach

Kai Wang, Dongwen Tang, Wangbo Zhao et al.

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Tien Nguyen, Dac Nguyen, Duc Nguyen The Minh et al.

Diffusion on Demand: Selective Caching and Modulation for Efficient Generation

Hee Min Choi, Hyoa Kang, Dokwan Oh et al.

Structured Reinforcement Learning for Combinatorial Decision-Making

Heiko Hoppe, Léo Baty, Louis Bouvier et al.