Most Cited 2025 "transformer layer activation" Papers

ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation

Ali Athar, Xueqing Deng, Liang-Chieh Chen

Sekai: A Video Dataset towards World Exploration

Zhen Li, Chuanhao Li, Xiaofeng Mao et al.

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

Woojin Kim, Jaeyoung Do

ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model

Jialong Zuo, Yongtai Deng, Mengdan Tan et al.

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models

Keyu Tu, Mengqi Huang, Zhuowei Chen et al.

Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion

Haoyu Wang, Le Wang, Sanping Zhou et al.

Exponential Dynamic Energy Network for High Capacity Sequence Memory

Arjun Karuvally, Pichsinee Lertsaroj, Terrence Sejnowski et al.

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality

Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam et al.

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks

Uranik Berisha, Jens Mehnert, Alexandru Paul Condurache

Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem

Elvis Dohmatob

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

Doppelgängers and Adversarial Vulnerability

George Kamberov

LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis

Berkay Döner, Thorir Mar Ingolfsson, Luca Benini et al.

FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition

Pragya Singh, Ankush Gupta, Somay Jalan et al.

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong, Yuheng Tu, Michael Hardy et al.

FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

Xunzhao Yu

SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography

Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.

Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time

Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori et al.

Impartial Selection with Predictions

Rethinking PCA Through Duality

Jan Quan, Johan Suykens, Panagiotis Patrinos

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis

Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos

Energy-based generator matching: A neural sampler for general state space

Dongyeop Woo, Minsu Kim, Minkyu Kim et al.

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies

HaiYang Li, Liao Yu, Qiang Yu et al.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention

Yuhan Wang, Fangzhou Hong, Shuai Yang et al.

Generalization Bounds for Rank-sparse Neural Networks

Antoine Ledent, Rodrigo Alves, Yunwen Lei

On Agnostic PAC Learning in the Small Error Regime

Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

Xiangqi Wang, Yue Huang, Yanbo Wang et al.

LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?

Ziyuan He, Yuxuan Wang, Jiaqi Li et al.

Matrix-Free Shared Intrinsics Bundle Adjustment

Daniel Safari

Learning Theory for Kernel Bilevel Optimization

Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.

Seeing More with Less: Human-like Representations in Vision Models

Andrey Gizdov, Shimon Ullman, Daniel Harari

DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads

Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha et al.

The Leaderboard Illusion

Shivalika Singh, Yiyang Nan, Alex Wang et al.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Jianyi Wang, Zhijie Lin, Meng Wei et al.

Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding

Jiaxin Shi, Mingyue Xiang, Hao Sun et al.

CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation

Xinran Wang, Songyu Xu, Shan Xiangxuan et al.

Look-Ahead Reasoning on Learning Platforms

Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner

Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models

Die Chen, Zhiwen Li, Cen Chen et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction

Lingteng Qiu, Shenhao Zhu, Qi Zuo et al.

Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval

Siyuan Duan, Yuan Sun, Dezhong Peng et al.

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.

NVILA: Efficient Frontier Visual Language Models

Zhijian Liu, Ligeng Zhu, Baifeng Shi et al.

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions

Philip Boeken, Onno Zoeter, Joris Mooij

MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series

Payal Mohapatra, Yueyuan Sui, Akash Pandey et al.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Wonjoon Jin, Qi Dai, Chong Luo et al.

UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation

Zhenjie Mao, Yang Yuhuan, Chaofan Ma et al.

Stochastically Dominant Peer Prediction

Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images

Jie Mei, Chenyu Lin, Yu Qiu et al.

No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather

Junsung Park, HwiJeong Lee, Inha Kang et al.

Learning Partonomic 3D Reconstruction from Image Collections

Xiaoqian Ruan, Pei Yu, Dian Jia et al.

LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning

Peng Wu, Xiankai Lu, Hao Hu et al.

CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs

Bowen Gao, Yanwen Huang, Yiqiao Liu et al.

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation

Wenyu Zhu, Jianhui Wang, Bowen Gao et al.

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Lorenzo Guerra, Thomas Chapuis, Guillaume Duc et al.

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Seunghee Ryu, Donghoon Kwon, Seongjin Choi et al.

Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology

Luting Wang, Yinghao Xiang, Hongliang Huang et al.

Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions

Shubo Li, Yizhe Ding, Lingzhou Xue et al.

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time

Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang et al.

EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models

Andy Bonnetto, Haozhe Qi, Franklin Leong et al.

OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement

Ye Tian, Angela McCarthy, Gabriel Gomide et al.

3D Student Splatting and Scooping

Jialin Zhu, Jiangbei Yue, Feixiang He et al.

LEDiff: Latent Exposure Diffusion for HDR Generation

Chao Wang, Zhihao Xia, Thomas Leimkuehler et al.

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning

Kaiwen Zha, Zhengqi Gao, Maohao Shen et al.

Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency

Renzhao Liang, Sizhe Xu, Chenggang Xie et al.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Christodoulos Constantinides, Dhaval Patel, Shuxin Lin et al.

PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications

Zilin Shen, Xinyu Luo, Imtiaz Karim et al.

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

Cheng Zhang, Haofei Xu, Qianyi Wu et al.

Geometry of Decision Making in Language Models

Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi

UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation

Chengye Wang, Yuyuan Li, XiaoHua Feng et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models

Jiacong Xu, Shao-Yuan Lo, Bardia Safaei et al.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction

Jinguang Tong, Xuesong li, Fahira Afzal Maken et al.

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Zhenyu Wang, Peter Bühlmann, Zijian Guo

HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition

Zimo Wang, Cheng Wang, Taiki Yoshino et al.

Locality-Aware Zero-Shot Human-Object Interaction Detection

Sanghyun Kim, Deunsol Jung, Minsu Cho

Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules

Binghui Li, Fengling Chen, Zixun Huang et al.

DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks

Canyu Zhao, Yanlong Sun, Mingyu Liu et al.

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding

chenkai zhang, Yiming Lei, Zeming Liu et al.

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering

Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.

Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy

Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.

Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond

Fan Chen, Song Mei, Yu Bai

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker, Francois Lanusse, Jeff Shen et al.

Predictive Preference Learning from Human Interventions

Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.

A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

Daniel Tschernutter, David Diego Castro, Maciej Kasiński

Best-of-N Jailbreaking

John Hughes, Sara Price, Aengus Lynch et al.

HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild

Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno et al.

Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety

Siyuan Xu, Minghui Zhu

Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis

Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.

Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection

Jiangyi Wang, Na Zhao

Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction

Shanshan Huang, Haoxuan Li, Chunyuan Zheng et al.

Number it: Temporal Grounding Videos like Flipping Manga

Yongliang Wu, Xinting Hu, Yuyang Sun et al.

Autoregressive Sequential Pretraining for Visual Tracking

Shiyi Liang, Yifan Bai, Yihong Gong et al.

A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging

Yuanye Liu, jinyang liu, Renwei Dian et al.

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging

Zhiwei Ling, Yachen Chang, Hailiang Zhao et al.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning

yuzhuo dai, Jiaqi Jin, Zhibin Dong et al.

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.

Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models

Xinran Wang, Jin Du, Azal Khan et al.

Minority-Focused Text-to-Image Generation via Prompt Optimization

Soobin Um, Jong Chul Ye

OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts

Yuxuan Wang, Yueqian Wang, Bo Chen et al.

Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision

Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.

DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images

Ozgur Kara, Harris Nisar, James Rehg

Variational Polya Tree

Lu Xu, Tsai Hor Chan, Lequan Yu et al.

PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection

Long Li, Wanghu Chen, Wencheng Zhang et al.

Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model

Ruiping Liu, Junwei Zheng, Yufan Chen et al.

Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition

Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian

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

Paul Gölz, Nika Haghtalab, Kunhe Yang

Absence Bench: Language Models Can’t See What’s Missing

Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.

Relative Pose Estimation through Affine Corrections of Monocular Depth Priors

Yifan Yu, Shaohui Liu, Rémi Pautrat et al.

Unseen Visual Anomaly Generation

HAN SUN, Yunkang Cao, Hao Dong et al.

Mamba-Reg: Vision Mamba Also Needs Registers

Feng Wang, Jiahao Wang, Sucheng Ren et al.

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

Bozhou Zhang, Nan Song, jingyu li et al.

Flexible Realignment of Language Models

Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.

LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process

Huiyang Shao, Xin Xia, Yuxi Ren et al.

BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints

Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.

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

Fengmao Lyu, Jitong Lei, Guosheng Lin et al.

Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference

Hao Yin, Guangzong Si, Zilei Wang

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models

Hao Cheng, Erjia Xiao, Jiayan Yang et al.

Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?

Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.

Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization

jingfeng Guo, Jian Liu, Jinnan Chen et al.

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection

Fuyun Wang, Tong Zhang, Yuanzhi Wang et al.

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities

Tara Akhound-Sadegh, Jungyoon Lee, Joey Bose et al.

Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining

Haochen Zhang, Junze Yin, Guanchu Wang et al.

Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition

ZHANG LINTONG, Kang Yin, Seong-Whan Lee

How many measurements are enough? Bayesian recovery in inverse problems with general distributions

Ben Adcock, Zi Yuan (Nick) Huang

RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection

Fan Xing, Zhuo Tian, Xuefeng Fan et al.

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik et al.

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models

Shristi Das Biswas, Arani Roy, Kaushik Roy

URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles

Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.

Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start

Fuyang Liu, Jiaqi Xu, Xiaowei Hu

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality

Kyeongwon Lee, Lizhen Lin, Jaewoo Park et al.

SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI

Yuzhou Nie, Zhun Wang, Yu Yang et al.

Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights

Ondrej Tybl, Lukas Neumann

Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning

Dongkwan Lee, JunHoo Lee, Nojun Kwak

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting

Kai He, Ruofan Liang, Jacob Munkberg et al.

Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection

Ji Du, Fangwei Hao, Mingyang Yu et al.

KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration

Dengwei Zhao, Shikui Tu, Yanan Sun et al.

MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos

Zhengqi Li, Richard Tucker, Forrester Cole et al.

Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model

Yicong Chen, Jiahua Rao, Jiancong Xie et al.

MAD: Memory-Augmented Detection of 3D Objects

Ben Agro, Sergio Casas, Patrick Wang et al.

Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration

Jae Hyeon Park, Joo Hyeon Jeon, Jae Yun Lee et al.

Vocabulary-Guided Gait Recognition

Panjian Huang, Saihui Hou, Chunshui Cao et al.

Is Your Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.

Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis

Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.

Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs

Zicheng Zhang, Ziheng Jia, Haoning Wu et al.

RF-Agent: Automated Reward Function Design via Language Agent Tree Search

Ning Gao, Xiuhui Zhang, Xingyu Jiang et al.

Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering

Yuanhao Zou, Zhaozheng Yin

NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods

Chengdong Dong, B. V. K. Vijaya Kumar, Zhenyu Zhou et al.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation

Meilong Xu, Xiaoling Hu, Shahira Abousamra et al.

Mamba Modulation: On the Length Generalization of Mamba Models

Peng Lu, Jerry Huang, QIUHAO Zeng et al.

Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning

Kunyu Wang, Xueyang Fu, Xin Lu et al.

Streaming Stochastic Submodular Maximization with On-Demand User Requests

Honglian Wang, Sijing Tu, Lutz Oettershagen et al.

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

Hui Chen, Miao Xiong, Yujie Lu et al.

Image Super-Resolution with Guarantees via Conformalized Generative Models

Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert

FLAME: Fast Long-context Adaptive Memory for Event-based Vision

Biswadeep Chakraborty, Saibal Mukhopadhyay

InsTaG: Learning Personalized 3D Talking Head from Few-Second Video

Jiahe Li, Jiawei Zhang, Xiao Bai et al.

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap

Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.

LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing

Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang et al.

The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization

Yihua Zhang, Changsheng Wang, Yiwei Chen et al.

Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits

Shaoang Li, Jian Li

MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition

Pranav Mamidanna, Thomas Klotz, Dimitrios Chalatsis et al.

Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.

PMNI: Pose-free Multi-view Normal Integration for Reflective and Textureless Surface Reconstruction

Mingzhi Pei, Xu Cao, Xiangyi Wang et al.

3D Interaction Geometric Pre-training for Molecular Relational Learning

Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.

LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions

Hadi Askari, Shivanshu Gupta, Fei Wang et al.

Can NeRFs "See" without Cameras?

Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models

Lexiang Xiong, Liu Chengyu, Jingwen Ye et al.

ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts

Linfeng Tang, Yeda Wang, Zhanchuan Cai et al.

Video-Bench: Human-Aligned Video Generation Benchmark

Hui Han, Siyuan Li, Jiaqi Chen et al.

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye et al.

Counterfactual Identifiability via Dynamic Optimal Transport

Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker

MFogHub: Bridging Multi-Regional and Multi-Satellite Data for Global Marine Fog Detection and Forecasting

Mengqiu XU, Kaixin Chen, Heng Guo et al.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation

Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari et al.

On the Edge of Memorization in Diffusion Models

Sam Buchanan, Druv Pai, Yi Ma et al.

All-directional Disparity Estimation for Real-world QPD Images

Hongtao Yu, Shaohui Song, Lihu Sun et al.

CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning

Xiaokun Li, Yaping Huang, Qingji Guan

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

Songchen Fu, Siang Chen, Shaojing Zhao et al.

CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction

Yuan Zhou, Qingshan Xu, Jiequan Cui et al.

Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction

Marzieh Ajirak, Oded Bein, Ellen Bowen et al.

The Indra Representation Hypothesis

Jianglin Lu, Hailing Wang, Kuo Yang et al.

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding

Chaoyu Li, Eun Woo Im, Pooyan Fazli

Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis

Tim Büchner, Christoph Anders, Orlando Guntinas-Lichius et al.

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

Huiyi Wang, Chun Kwang Tan, Balint Hodossy et al.

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Po-Chen Kuo, Han Hou, Will Dabney et al.

VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks

Jinseong Jang, Chunfei Ma, Byeongwon Lee

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch

Yijie Liu, Xinyi Shang, Yiqun Zhang et al.

Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning

Yash Jhaveri, Harley Wiltzer, Patrick Shafto et al.

Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning

Bardia Safaei, Faizan Siddiqui, Jiacong Xu et al.

MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes

Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.

Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events

Aditya Chinchure, Sahithya Ravi, Raymond Ng et al.

Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition

Anqi Zhu, Jingmin Zhu, James Bailey et al.