Most Cited NEURIPS "feature extractor analysis" Papers
5,858 papers found • Page 9 of 30
Conference
A Circular Argument: Does RoPE need to be Equivariant for Vision?
Chase van de Geijn, Timo Lüddecke, Polina Turishcheva et al.
FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering
Lishen Qu, Zhihao Liu, Jinshan Pan et al.
Learning to cluster neuronal function
Nina Nellen, Polina Turishcheva, Michaela Vystrčilová et al.
Credal Prediction based on Relative Likelihood
Timo Löhr, Paul Hofman, Felix Mohr et al.
EVODiff: Entropy-aware Variance Optimized Diffusion Inference
Shigui Li, Wei Chen, Delu Zeng
Robustness in Both Domains: CLIP Needs a Robust Text Encoder
Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh et al.
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
Ziming Liu, Shaoyu Wang, Shenggan Cheng et al.
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Sima Noorani, Shayan Kiyani, George J. Pappas et al.
Language Modeling by Language Models
Junyan Cheng, Peter Clark, Kyle Richardson
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
Zhaolan Huang, Emmanuel Baccelli
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
Adel Nabli, Louis Fournier, Pierre ERBACHER et al.
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
Wenhao Li, Qiangchang Wang, Xianjing Meng et al.
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi et al.
VideoLucy: Deep Memory Backtracking for Long Video Understanding
Jialong Zuo, Yongtai Deng, Lingdong Kong et al.
TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
Jiacheng Xie, Yang Yu, Ziyang Zhang et al.
Attention (as Discrete-Time Markov) Chains
Yotam Erel, Olaf Dünkel, Rishabh Dabral et al.
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla, OSCAR HERNAN MADRID PADILLA, Sabyasachi Chatterjee
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
Junchi Yu, Yujie Liu, Jindong Gu et al.
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
Xiao Han, ZIMO ZHAO, Wanyu Wang et al.
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
Hainuo Wang, Qiming Hu, Xiaojie Guo
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
Haiming Zhang, Yiyao Zhu, Wending Zhou et al.
Is This Tracker On? A Benchmark Protocol for Dynamic Tracking
Ilona Demler, Saumya Chauhan, Georgia Gkioxari
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider, Pratik S. Bisht, Ilya Chugunov et al.
LTD-Bench: Evaluating Large Language Models by Letting Them Draw
Liuhao Lin, Ke Li, Zihan Xu et al.
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
No-Regret Online Autobidding Algorithms in First-price Auctions
Yilin LI, Yuan Deng, Wei Tang et al.
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
Kai Yan, Zhan Ling, Kang Liu et al.
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
Honglin Lin, Qizhi Pei, Zhuoshi Pan et al.
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani et al.
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
Yongxin He, Shan Zhang, Yixuan Cao et al.
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal et al.
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Indrashis Das, Mahmoud Safari, Steven Adriaensen et al.
Point Cloud Synthesis Using Inner Product Transforms
Ernst Röell, Bastian Rieck
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi et al.
ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
Yuhong CHOU, Zehao Liu, Rui-Jie Zhu et al.
Statistical Inference for Gradient Boosting Regression
Haimo Fang, Kevin Tan, Giles Hooker
Fast exact recovery of noisy matrix from few entries: the infinity norm approach
BaoLinh Tran, Van Vu
Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu, Ryan Liu, Kerem Oktar et al.
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.
TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels
Jiahao Lu, Weitao Xiong, Jiacheng Deng et al.
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Anda Tang, Yiming Dong, Yutao Zeng et al.
ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
Yikuan Hu, Jifeng Zhu, Lanrui Tang et al.
$i$MIND: Insightful Multi-subject Invariant Neural Decoding
Zixiang Yin, Jiarui Li, Zhengming Ding
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
Chaochen Gao, Xing W, Zijia Lin et al.
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
Wei Huang, Hanchen Wang, Dong Wen et al.
Taxonomy of reduction matrices for Graph Coarsening
Antonin Joly, Nicolas Keriven, Aline Roumy
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
Donghoon Ahn, Jiwon Kang, Sanghyun Lee et al.
How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
Yang Zhao, Pu Wang, Hao Frank Yang
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu et al.
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Minghao Yin, Yukang Cao, Kai Han
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath et al.
Martingale Posterior Neural Networks for Fast Sequential Decision Making
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea et al.
AI Testing Should Account for Sophisticated Strategic Behaviour
Vojta Kovarik, Eric Chen, Sami Petersen et al.
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li, Xujiang Zhao, Linlin Yu et al.
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
Xinyan Su, Zhiheng Zhang, Jiyan Qiu et al.
Long-tailed Recognition with Model Rebalancing
JIAAN LUO, Feng Hong, Qiang Hu et al.
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Cynthia Dwork, Lunjia Hu, Han Shao
Compositional Reasoning with Transformers, RNNs, and Chain of Thought
Gilad Yehudai, Noah Amsel, Joan Bruna
A Differential and Pointwise Control Approach to Reinforcement Learning
Minh Nguyen, Chandrajit Bajaj
Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
Mumin Jia, Jairo Diaz-Rodriguez
Balancing Gradient and Hessian Queries in Non-Convex Optimization
Deeksha Adil, Brian Bullins, Aaron Sidford et al.
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
Anish Dhir, Cristiana Diaconu, Valentinian Lungu et al.
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
Ziying Li, Xuequan Lu, Xinkui Zhao et al.
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao et al.
Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Qingmei Li, Yang Zhang, Zurong Mai et al.
Towards A Translative Model of Sperm Whale Vocalization
Orr Paradise, Liangyuan Chen, Pranav Muralikrishnan et al.
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
Hongshu Guo, Zeyuan Ma, Yining Ma et al.
Normalization in Attention Dynamics
Nikita Karagodin, Shu Ge, Yury Polyanskiy et al.
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
Alan J.X. Guo, Sihan Sun, Xiang Wei et al.
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
Mingjie Li, Wai Man Si, Michael Backes et al.
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
Ruixin Guo, Ruoming Jin, Xinyu Li et al.
Steering When Necessary: Flexible Steering Large Language Models with Backtracking
Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.
Neural B-frame Video Compression with Bi-directional Reference Harmonization
Yuxi Liu, jin dengchao, Shuai Huo et al.
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
Gucongcong Fan, Chaoyue Niu, Chengfei Lyu et al.
A Practical Guide for Incorporating Symmetry in Diffusion Policy
Dian Wang, Boce Hu, Shuran Song et al.
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, BINBINLIU et al.
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
Shiwei Li, Xiandi Luo, Haozhao Wang et al.
Contribution of task-irrelevant stimuli to drift of neural representations
Farhad Pashakhanloo
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
Zhida Zhao, Talas Fu, Yifan Wang et al.
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
Tianhao Chen, Xin Xu, Zijing Liu et al.
Efficient Large Language Model Inference with Neural Block Linearization
Mete Erdogan, Francesco Tonin, Volkan Cevher
LLM Query Scheduling with Prefix Reuse and Latency Constraints
Gregory Dexter, Shao Tang, Ata Fatahi et al.
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Achleshwar Luthra, Tianbao Yang, Tomer Galanti
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
Pengrui Quan, Brian Wang, Kang Yang et al.
Robust Hyperbolic Learning with Curvature-Aware Optimization
Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme et al.
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
Xiao Cui, Yulei Qin, Wengang Zhou et al.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
Yinqi Li, Jiahe Zhao, Hong Chang et al.
$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Pei Zhou, Wanting Yao, Qian Luo et al.
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
Jiaye Qian, Ge Zheng, Yuchen Zhu et al.
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Manyi Yao, Bingbing Zhuang, Sparsh Garg et al.
Evaluating Program Semantics Reasoning with Type Inference in System $F$
Yifeng He, Luning Yang, Christopher Gonzalo et al.
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
Siting Li, Xiang Gao, Simon Du
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
Yize Wu, KE GAO, Ling Li et al.
Strategic Cost Selection in Participatory Budgeting
Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk et al.
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Yao Zhao et al.
IF-Guide: Influence Function-Guided Detoxification of LLMs
Zachary Coalson, Juhan Bae, Nicholas Carlini et al.
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Amirmohammad Farzaneh, Osvaldo Simeone
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu et al.
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
Ting Wei, Biao Mei, Junliang Lyu et al.
Risk-aware Direct Preference Optimization under Nested Risk Measure
Lijun Zhang, Lin Li, Yajie Qi et al.
Continuous Subspace Optimization for Continual Learning
Quan Cheng, Yuanyu Wan, Lingyu Wu et al.
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
Shiyi Xu, Hu Yiwen, Yingqian Min et al.
High Resolution UDF Meshing via Iterative Networks
Federico Stella, Nicolas Talabot, Hieu Le et al.
Sign-In to the Lottery: Reparameterizing Sparse Training
Advait Gadhikar, Tom Jacobs, chao zhou et al.
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Garibay
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
Shulun Chen, Runlong Zhou, Zihan Zhang et al.
PASS: Path-selective State Space Model for Event-based Recognition
Jiazhou Zhou, Kanghao Chen, Lei Zhang et al.
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
Junsheng Zhou, XingYu Shi, Haichuan Song et al.
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
Zeyuan Yin, Xiaoming Liu
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel et al.
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
Bowei Zhu, Shaojie Li, Mingyang Yi et al.
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
Li Ju, Max Andersson, Stina Fredriksson et al.
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models
HAOTIAN XU, Qingsong Peng, Jie Shi et al.
The third pillar of causal analysis? A measurement perspective on causal representations
Dingling Yao, Shimeng Huang, Riccardo Cadei et al.
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
Jiayi Yuan, Hao Li, Xinheng Ding et al.
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
Zihao Guo, Qingyun Sun, Ziwei Zhang et al.
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai, Qingqing Ye, Xinwei Zhang et al.
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
Robin Yadav, Qi Yan, Guy Wolf et al.
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier et al.
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
Yiyao Ma, Kai Chen, Kexin ZHENG et al.
A learnability analysis on neuro-symbolic learning
Hao-Yuan He, Ming LI
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin et al.
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
Honghao Chen, Xingzhou Lou, Xiaokun Feng et al.
Revisiting Agnostic Boosting
Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice et al.
ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
Yuxuan Song, Zhe Zhang, Yu Pei et al.
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
Mateo Clémente, Leo Brunswic, Yang et al.
Spike-timing-dependent Hebbian learning as noisy gradient descent
Niklas Dexheimer, Sascha Gaudlitz, Johannes Schmidt-Hieber
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache, Luiz Chamon, Mathias Niepert
NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
Haeun Lee, Omin Kwon, Yeonhong Park et al.
Rescaled Influence Functions: Accurate Data Attribution in High Dimension
Ittai Rubinstein, Samuel Hopkins
Least squares variational inference
Yvann Le Fay, Nicolas Chopin, Simon Barthelmé
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
Yunqi Hong, Sohyun An, Andrew Bai et al.
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Leyang Hu, Matteo Gamba, Randall Balestriero
Non-Adaptive Adversarial Face Generation
Sunpill Kim, Seunghun Paik, Chanwoo Hwang et al.
Evaluating LLMs in Open-Source Games
Swadesh Sistla, Max Kleiman-Weiner
Channel Matters: Estimating Channel Influence for Multivariate Time Series
Muyao Wang, Zeke Xie, Bo Chen et al.
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.
On Universality Classes of Equivariant Networks
Marco Pacini, Gabriele Santin, Bruno Lepri et al.
LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
Zhangyu Wang, Zeping Liu, Jielu Zhang et al.
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey et al.
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
Sizhe Tang, Jiayu Chen, Tian Lan
On the Convergence of Single-Timescale Actor-Critic
Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi et al.
WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild
Morris Alper, David Novotny, Filippos Kokkinos et al.
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
Pengbo Wang, Chaozhuo Li, Chenxu Wang et al.
Learning Generalizable Shape Completion with SIM(3) Equivariance
Yuqing Wang, Zhaiyu Chen, Xiaoxiang Zhu
PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage et al.
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
Yeongbin Seo, Dongha Lee, Jaehyung Kim et al.
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel et al.
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
Felix Koehler, Nils Thuerey
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
Alex Chouldechova, A. Feder Cooper, Solon Barocas et al.
Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
Xingguang Wei, Haomin Wang, Shenglong Ye et al.
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
Bogdan Chornomaz, Yonatan Koren, Shay Moran et al.
Tensor-Parallelism with Partially Synchronized Activations
Itay Lamprecht, Asaf Karnieli, Yair Hanani et al.
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
Ghada Sokar, Pablo Samuel Castro
StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
Qijun Luo, Mengqi Li, Lei Zhao et al.
Non-Markovian Discrete Diffusion with Causal Language Models
Yangtian Zhang, Sizhuang He, Daniel Levine et al.
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang et al.
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan et al.
COS3D: Collaborative Open-Vocabulary 3D Segmentation
Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu et al.
Web-Scale Collection of Video Data for 4D Animal Reconstruction
Brian Nlong Zhao, Jiajun Wu, Shangzhe Wu
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
Zichen Liu, Wei Zhang, Tiejun Li
Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits
Ziyi Zhang, Yorie Nakahira, Guannan Qu
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine, Simone Azeglio, Carlo Paris et al.
SegMASt3R: Geometry Grounded Segment Matching
Rohit Jayanti, Swayam Agrawal, Vansh Garg et al.
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
Ruoyu Wang, Beier Zhu, Junzhi Li et al.
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
Yue Gong, Raul Fernandez
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan, Michal Moshkovitz, Guy Katz
Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
Han Bao, Shinsaku Sakaue, Yuki Takezawa
Characterization and Learning of Causal Graphs from Hard Interventions
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image
Sicheng Xu, Guojun Chen, Jiaolong Yang et al.
Preference Learning with Response Time: Robust Losses and Guarantees
Ayush Sawarni, Sahasrajit Sarmasarkar, Vasilis Syrgkanis
DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis
Dongheon Lee, Younghoo Kwon, Jung-Woo Choi
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
Heyuan Li, Kenkun Liu, Lingteng Qiu et al.
Incentivizing LLMs to Self-Verify Their Answers
Fuxiang Zhang, Jiacheng Xu, Chaojie Wang et al.
SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction
Wenyue Chen, Peng Li, Wangguandong Zheng et al.
Time-Embedded Algorithm Unrolling for Computational MRI
Junno Yun, Yasar Utku Alcalar, Mehmet Akcakaya
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar
Competitive Advantage Attacks to Decentralized Federated Learning
Yuqi Jia, Minghong Fang, Neil Gong
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang et al.
ExAct: A Video-Language Benchmark for Expert Action Analysis
Han Yi, Yulu Pan, Feihong He et al.
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh et al.
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
Naoki Nishikawa, Rei Higuchi, Taiji Suzuki
FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
Tianle Li, Yongzhi Huang, Linshan Jiang et al.
The Underappreciated Power of Vision Models for Graph Structural Understanding
Xinjian Zhao, Wei Pang, Zhongkai Xue et al.
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
Andrew Lowy, Daogao Liu
Position: Benchmarking is Broken - Don't Let AI be Its Own Judge
Zerui Cheng, Stella Wohnig, Ruchika Gupta et al.
Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs
Mana Sakai, Ryo Karakida, Masaaki Imaizumi
Self-diffusion for Solving Inverse Problems
Guanxiong Luo, Shoujin Huang
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
Praneet Suresh, Jack Stanley, Sonia Joseph et al.
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
Pucheng Dang, Di Huang, Dong Li et al.
State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
Jiahuan Zhou, Kai Zhu, Zhenyu Cui et al.
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Shuo Cheng, Liqian Ma, Zhenyang Chen et al.
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
Deliang Wei, Peng Chen, Haobo Xu et al.