Most Cited 2025 "image editing manipulation" Papers
22,274 papers found • Page 90 of 112
Conference
Split conformal classification with unsupervised calibration
Santiago Mazuelas
3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion
Junyi Wang, Yuze Wang, Wantong Duan et al.
GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking
Hyunseop Kim, Hyo-Jun Lee, Yonguk Lee et al.
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng, Xingsi Dong, Si Wu
Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging
Bo Wang, Dingwei Tan, Yen-Ling Kuo et al.
Normalizing Flows are Capable Models for Continuous Control
Raj Ghugare, Benjamin Eysenbach
RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion
Yuwu Lu, Chunzhi Liu
Think before Recommendation: Autonomous Reasoning-enhanced Recommender
Xiaoyu Kong, Junguang Jiang, Bin Liu et al.
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
Tianxiang Zhao, Youqing Wang, Jinlu Wang et al.
Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
Zhiqiang Zhong, Davide Mottin
BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
Zhixuan Zhou, Tingting Dan, Guorong Wu
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
Xuewei Bai, Yongcai Wang, Deying Li et al.
Structured Initialization for Vision Transformers
Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran et al.
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.
Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
Jiawei Gu, Ziyue Qiao, Xinming Li et al.
Distributed mediation analysis with communication efficiency
Shaomin Li
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features
Wenhuan Huang, Yi JI, guiqian zhu et al.
Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders
Wang Lin, Qingsong Wang, Yueying Feng et al.
Robustly Learning Monotone Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
Hunyuan-Portrait: Implicit Condition Control for Enhanced Portrait Animation
Zunnan Xu, Zhentao Yu, Zixiang Zhou et al.
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.
Tracking and Understanding Object Transformations
Yihong Sun, Xinyu Yang, Jennifer Sun et al.
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution
Jacob Lin, Edward Gryspeerdt, Ronald Clark
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Thomas Lucas et al.
Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization
Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.
Task-Aware Clustering for Prompting Vision-Language Models
Fusheng Hao, Fengxiang He, Fuxiang Wu et al.
Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models
Nicolas Le Roux, Marc Bellemare, Jonathan Lebensold et al.
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma et al.
MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
Rizhen Hu, Yutong He, Ran Yan et al.
The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya Ramesh, Edan Meyer et al.
Flash Invariant Point Attention
Andrew Liu, Axel Elaldi, Nicholas Franklin et al.
Does Stochastic Gradient really succeed for bandits?
Dorian Baudry, Emmeran Johnson, Simon Vary et al.
TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs
Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram et al.
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Hairui Ren, Fan Tang, He Zhao et al.
Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
Min Wang, Hao Yang, Qing Cheng et al.
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
Itzik Waizman, Yakov Gusakov, Itay Benou et al.
Activating Sparse Part Concepts for 3D Class Incremental Learning
Zhenya Tian, Jun Xiao, Liu lupeng et al.
Real-DRL: Teach and Learn in Reality
Yanbing Mao, Yihao Cai, Lui Sha
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
Ibuki Maeda, Yao, Atsushi Nitanda
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
Non-Clairvoyant Scheduling with Progress Bars
Ziyad Benomar, Romain Cosson, Alexander Lindermayr et al.
Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing
Xuanbai Chen, Xiang Xu, Zhihua Li et al.
A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
Yuanchao Dai, Zhengzhang Hou, Changchun Li et al.
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
Training-free Online Video Step Grounding
Luca Zanella, Massimiliano Mancini, Yiming Wang et al.
PS-EIP: Robust Photometric Stereo Based on Event Interval Profile
Kazuma Kitazawa, Takahito Aoto, Satoshi Ikehata et al.
WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening
man zhou, Xuanhua He, Danfeng Hong et al.
Towards Accurate Time Series Forecasting via Implicit Decoding
Xinyu Li, Yuchen Luo, Hao Wang et al.
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
Runpeng Xie, Quanwei Wang, Hao Hu et al.
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
Xiangyu Hong, Che Jiang, Kai Tian et al.
Three-view Focal Length Recovery From Homographies
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladova et al.
Visual Representation Learning through Causal Intervention for Controllable Image Editing
Shanshan Huang, Haoxuan Li, Chunyuan Zheng et al.
Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration
Lianxin Xie, csbingbing zheng, Si Wu et al.
S$^2$NN: Sub-bit Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jieyuan (Eric) Zhang et al.
You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM
Binqian Xu, Haiyang Mei, Zechen Bai et al.
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
Yuxin Ma, Dmitriy Kunisky
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
Steven An
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation
Linye Li, Yufei Chen, Xiaodong Yue
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
Yue Hou, He Zhu, Ruomei Liu et al.
Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
Qingyi Pan, Yicheng Li
AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation
Guangyang Wu, Huayu Zheng, Siqi Luo et al.
PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting
Changkun Liu, Bin Tan, Zeran Ke et al.
Toward Human Deictic Gesture Target Estimation
Xu Cao, Pranav Virupaksha, Sangmin Lee et al.
Less Greedy Equivalence Search
Adiba Ejaz, Elias Bareinboim
TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
Yiwen Wu, Yuyang Chen, Ye Xia et al.
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
Sean McGrath, Debarghya Mukherjee, Rajarshi Mukherjee et al.
Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders
Federico Vasile, Ri-Zhao Qiu, Lorenzo Natale et al.
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
Lipei Zhang, Rui Sun, Zhongying Deng et al.
Effective Neural Approximations for Geometric Optimization Problems
Samantha Chen, Oren Ciolli, Anastasios Sidiropoulos et al.
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko et al.
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran et al.
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Tal Fiskus, Uri Shaham
Fairness under Competition
Ronen Gradwohl, Eilam Shapira, Moshe Tennenholtz
VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning
Run Luo, Renke Shan, Longze Chen et al.
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
Zhen Zhang, Bingsheng He
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
Wudi Chen, Zhiyuan Zha, Shigang Wang et al.
Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
Xingxing Yang, Jie Chen, Zaifeng Yang
Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
Mingxuan Ye, Jie Wang, Fangzhou et al.
ZeroPatcher: Training-free Sampler for Video Inpainting and Editing
Shaoshu Yang, Yingya Zhang, Ran He
Product Distribution Learning with Imperfect Advice
Arnab Bhattacharyya, XianJun, Davin Choo, Philips George John et al.
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
Learning Shared Representations from Unpaired Data
Amitai Yacobi, Nir Ben-Ari, Ronen Talmon et al.
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy
Aditya Ganeshan, Thibault Groueix, Paul Guerrero et al.
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
Seunghoon Lee, Jeongwoo Choi, Byunggwan Son et al.
Non-Line-of-Sight 3D Reconstruction with Radar
Haowen Lai, Zitong Lan, Mingmin Zhao
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
Inference-Time Personalized Alignment with a Few User Preference Queries
Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar et al.
GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything
Jinxuan Wu, Jiange Wang, Dongdong Zhang
Exploiting Dynamic Sparsity in Einsum
Christoph Staudt, Mark Blacher, Tim Hoffmann 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.
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
Kichang Yang, Seonjun Kim, Minjae Kim et al.
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki et al.
Discovering Symbolic Partial Differential Equation by Abductive Learning
En-Hao Gao, Cunjing Ge, Yuan Jiang et al.
Why Popular MOEAs are Popular: Proven Advantages in Approximating the Pareto Front
Mingfeng Li, Qiang Zhang, Weijie Zheng et al.
Contextual Online Pricing with (Biased) Offline Data
Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
Long Xu, Jiakai Wang, Haojie Hao et al.
Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
Jiaming Ma, Binwu Wang, Guanjun Wang et al.
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
Weijian Ma, Shizhao Sun, Ruiyu Wang et al.
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
Zhong Li, Qi Huang, Yuxuan Zhu et al.
Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater
Xueyu Liu, Rui Wang, Yexin Lai et al.
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
Zhixun Chen, Ping Guo, Wenhan Han et al.
Efficient Spectral Control of Partially Observed Linear Dynamical Systems
Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna et al.
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
Zhiqin Yang, Yonggang Zhang, Chenxin Li et al.
Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
CHENGQI LI, Zhihao Shi, Yangdi Lu et al.
Greedy Sampling Is Provably Efficient For RLHF
Di Wu, Chengshuai Shi, Jing Yang et al.
SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding
Yuan Zang, Zitian Tang, Junho Cho et al.
Multimodal 3D Genome Pre-training
Minghao Yang, Pengteng Li, Yan Liang et al.
Generalized Top-k Mallows Model for Ranked Choices
Shahrzad Haddadan, Sara Ahmadian
Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim, Jaeyoung Do
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya et al.
Shaping Sequence Attractor Schema in Recurrent Neural Networks
Zhikun Chu, Bo Ho, xiaolong zou et al.
Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design
Jake Callahan, Andrew Chin, Jason Pacheco et al.
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq, David Loiseaux, Vicky Kalogeiton et al.
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
Wenpu Li, Bangyan Liao, Yi Zhou et al.
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng, Bryon Aragam
A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
Qiang Li, Jian Ruan, Fanghao Wu et al.
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Eunbyeol Cho, Jiyoun Kim, Minjae Lee et al.
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
Qu Yang, Xiyang Li, Fu Lin et al.
Unlearning-Aware Minimization
Hoki Kim, Keonwoo Kim, Sungwon Chae et al.
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
Zhongao Zhou, Bin Yang, Wenke Huang et al.
Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One
Itamar Avitan, Tal Golan
Generalization vs Specialization under Concept Shift
Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
Xihang Qiu, Jiarong Cheng, Yuhao Fang et al.
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang, Daniel Huang, Tiannan Xiao et al.
Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
Taehyun Hwang, Dahngoon Kim, Min-hwan Oh
Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi et al.
Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
Qijia He, Minghan Wang, Xutong Liu et al.
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek et al.
Open Set Label Shift with Test Time Out-of-Distribution Reference
Changkun Ye, Russell Tsuchida, Lars Petersson et al.
WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction
shengchuan gao, Shuo Wang, Yabiao Wang et al.
Simple and Effective Specialized Representations for Fair Classifiers
Alberto Sinigaglia, Davide Sartor, Marina Ceccon et al.
Near-Optimal Sample Complexity for Online Constrained MDPs
Chang Liu, Yunfan Li, Lin Yang
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
Eline M. Bovy, Caleb Probine, Marnix Suilen et al.
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Heasung Kim, Taekyun Lee, Hyeji Kim et al.
Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
Yanqiao Zhu, Yidan Shi, Yuanzhou Chen et al.
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Yinan Huang, Haoteng Yin, Eli Chien et al.
Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
Yunlong Li, Xiabi Liu, Liyuan Pan et al.
PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation
Jingyi Tian, Le Wang, Sanping Zhou et al.
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
Xu Yan, Jun Yin, Jie Wen
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Yuyang Yu, Zhengwei Chen, Xuemiao Xu et al.
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Elia Torre, Michele Viscione, Lucas Pompe et al.
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition
Xuli Shen, Hua Cai, Weilin Shen et al.
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor et al.
Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection
Ziqi Li, Tao Gao, Yisheng An et al.
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay et al.
PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
Weizhuo Li, Yue Xi, Wenjing Jia et al.
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance
Ali Farajzadeh, Danyal Saeed, Syed M Abbas et al.
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Formanek, Omayma Mahjoub, Louay Nessir et al.
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu et al.
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
Risheng Liu, Zhu Liu, Weihao Mao et al.
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
Shuguang Wang, Qian Zhou, Kui Wu et al.
$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
Francesco Innocenti, El Mehdi Achour, Christopher L Buckley
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
Han Wang, Chao Ning
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi, Hyesu Lim, Steffen Schneider et al.
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu et al.
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
Rui Wang, Chen Hu, Xiaoning Song et al.
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences
Siqi Wan, Jingwen Chen, Qi Cai et al.
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen et al.
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman et al.
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
Wenjie Du, Xuqiang Li, Jinke Feng et al.
Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering
Biplab Das, Viswanath Gopalakrishnan
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection
Jinhyung Park, Navyata Sanghvi, Hiroki Adachi et al.
Compositional Targeted Multi-Label Universal Perturbations
Hassan Mahmood, Ehsan Elhamifar
ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
Tong Wang, Mingkang Wang, Zhongze Wang et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang et al.
Spatially-aware Weights Tokenization for NeRF-Language Models
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren et al.
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
ViKIENet: Towards Efficient 3D Object Detection with Virtual Key Instance Enhanced Network
Zhuochen Yu, Bijie Qiu, Andy W. H. Khong
New Parallel and Streaming Algorithms for Directed Densest Subgraph
Slobodan Mitrovic, Theodore Pan, Mahdi Qaempanah et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.