Most Cited 2025 "collaborative distributed learning" Papers
22,274 papers found • Page 92 of 112
Conference
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.
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
Yongmin Lee, Hye Won Chung
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
RMultiplex200K: Toward Reliable Multimodal Process Supervision for Visual Language Models on Telecommunications
Sijia Chen, Bin Song
Robustly Learning Monotone Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
Identifiability for Gaussian Processes with Holomorphic Kernels
Ameer Qaqish, Didong Li
PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning
PRAFFUL KHOBA, Zijian Wang, Chetan Arora et al.
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.
Soft Local Completeness: Rethinking Completeness in XAI
Ziv Weiss Haddad, Oren Barkan, Yehonatan Elisha 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
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
Michihiro Kuroki, Toshihiko Yamasaki
Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization
Xiaoling Zhou, Mingjie Zhang, Zhemg Lee 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.
Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Mañas, Pierluca D'Oro, Koustuv Sinha 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.
Path-specific effects for pulse-oximetry guided decisions in critical care
Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.
TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs
Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
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.
TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning
Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma 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.
AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations
Boyi Sun, Yuhang Liu, Houxin He et al.
Understanding outer learning rates in Local SGD
Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
VGMamba: Attribute-to-Location Clue Reasoning for Quantity-Agnostic 3D Visual Grounding
Zhu Yihang, Jinhao Zhang, Yuxuan Wang et al.
When Anchors Meet Cold Diffusion: A Multi-Stage Approach to Lane Detection
Bo-Lun Huang, Tzu-Hsiang Ni, Feng-Kai Huang et al.
A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
Yuanchao Dai, Zhengzhang Hou, Changchun Li et al.
Bridging the Gap between Brain and Machine in Interpreting Visual Semantics: Towards Self-adaptive Brain-to-Text Decoding
Jiaxuan Chen, Yu Qi, Yueming Wang 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.
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser Khalil, Mehdi Setayesh, Hongliang Li
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.
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
Tianwei Wang, Xinhui Ma, Wei Pang
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
Runpeng Xie, Quanwei Wang, Hao Hu et al.
Spectral Estimation with Free Decompression
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
Xiangyu Hong, Che Jiang, Kai Tian et al.
OpenSubstance: A High-quality Measured Dataset of Multi-View and -Lighting Images and Shapes
Fan Pei, jinchen bai, Xiang Feng et al.
No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition
Rong Qin, Xin Liu, Xingyu Liu et al.
MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition
Junfu Tan, Peiguang Jing, Yu Zhu et al.
Fast Image Super-Resolution via Consistency Rectified Flow
Jiaqi Xu, Wenbo Li, Haoze Sun et al.
Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention
Weida Wang, Changyong He, Jin Zeng et al.
Learning Multi-Source and Robust Representations for Continual Learning
Fei Ye, Yongcheng Zhong, Qihe Liu et al.
S$^2$NN: Sub-bit Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jieyuan (Eric) Zhang et al.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segmentation
You Huang, Lichao Chen, Jiayi Ji et al.
You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM
Binqian Xu, Haiyang Mei, Zechen Bai et al.
Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation
Jinjing Zhu, Tianbo Pan, Zidong Cao et al.
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
Yuxin Ma, Dmitriy Kunisky
Event-guided HDR Reconstruction with Diffusion Priors
Yixin Yang, jiawei zhang, Yang Zhang et al.
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.
Quanta Neural Networks: From Photons to Perception
Varun Sundar, Tianyi Zhang, Sacha Jungerman et al.
Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
Oleh Kolner, Thomas Ortner, Stanisław Woźniak et al.
Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
Qingyi Pan, Yicheng Li
MultiModal Action Conditioned Video Simulation
Yichen Li, Antonio Torralba
Learning Efficient and Generalizable Human Representation with Human Gaussian Model
Yifan Liu, Shengjun Zhang, Chensheng Dai et al.
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.
Flow Field Reconstruction with Sensor Placement Policy Learning
Ruoyan Li, Guancheng Wan, Zijie Huang 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
Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.
Towards more rigorous evaluations of language models
Desi R Ivanova, Ilija Ilievski, Momchil Konstantinov
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.
Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition
Meiqi Cao, Xiangbo Shu, Xin Jiang et al.
DiffPCI: Large Motion Point Cloud frame Interpolation with Diffusion Model
tianyu zhang, Haobo Jiang, jian Yang et al.
A Good Teacher Adapts Their Knowledge for Distillation
Chengyao Qian, Trung Le, Mehrtash Harandi
VisionMath: Vision-Form Mathematical Problem-Solving
Zongyang Ma, Yuxin Chen, Ziqi Zhang et al.
NeuFrameQ: Neural Frame Fields for Scalable and Generalizable Anisotropic Quadrangulation
Ying-Tian Liu, Jiajun Li, Yu-Tao Liu 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.
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
Kiseong Hong, Gyeong-Hyeon Kim, Eunwoo Kim
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.
Robust Adverse Weather Removal via Spectral-based Spatial Grouping
Yuhwan Jeong, Yunseo Yang, Youngho Yoon et al.
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
Learning an Implicit Physics Model for Image-based Fluid Simulation
Emily Jia, Jiageng Mao, Zhiyuan Gao et al.
Learning Shared Representations from Unpaired Data
Amitai Yacobi, Nir Ben-Ari, Ronen Talmon et al.
Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching
Ha-Yeong Choi, Sang-Hoon Lee
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
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
A Framework for Double-Blind Federated Adaptation of Foundation Models
Nurbek Tastan, Karthik Nandakumar
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.
Learning to Filter Outlier Edges in Global SfM
Nicole Damblon, Marc Pollefeys, Daniel Barath
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
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
Exploiting Dynamic Sparsity in Einsum
Christoph Staudt, Mark Blacher, Tim Hoffmann et al.
Switch-a-View: View Selection Learned from Unlabeled In-the-wild Videos
Sagnik Majumder, Tushar Nagarajan, Ziad Al-Halah 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
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
Hang Du, Jiayang Zhang, Guoshun Nan 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.
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator
SangYong Lee, Sangjun Chung, Simon Woo
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.
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis
Yinghao Wu, Shihui Guo, Yipeng Qin
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.
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
Kangcong Li, Peng Ye, Chongjun Tu 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.
Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
Evangelos Dorovatas, Soroush Seifi, Gunshi Gupta et al.
Semi-supervised Deep Transfer for Regression without Domain Alignment
Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan
Multimodal 3D Genome Pre-training
Minghao Yang, Pengteng Li, Yan Liang et al.
Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates
Xiuchuan Li, Jun Wang, Tongliang Liu
CVGL: Causal Learning and Geometric Topology
Songsong Ouyang, Yingying Zhu
Generalized Top-k Mallows Model for Ranked Choices
Shahrzad Haddadan, Sara Ahmadian
SLADE: Shielding against Dual Exploits in Large Vision-Language Models
Md Zarif Hossain, AHMED IMTEAJ
Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim, Jaeyoung Do
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
Xiaolei Wang, Xiaoyang Wang, Huihui Bai et al.
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
Haidong Kang, Lianbo Ma, Pengjun Chen et al.
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari, Abdullah Alchihabi, Hao Yan et al.
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya et al.
PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
Yufei Han, Bowen Tie, Heng Guo et al.
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue 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.
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance
Xiaochen Shang, Pengwei Luo, Xinning Wang et al.
Towards a Geometric Understanding of Tensor Learning via the t-Product
Andong Wang, Yuning Qiu, Haonan Huang et al.
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng, Bryon Aragam
Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
Maria-Paola Forte, Nikos Athanasiou, Giulia Ballardini et al.
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
Haifeng Zhang, Qinghui He, Xiuli Bi 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.
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction
Chensheng Dai, Shengjun Zhang, Min Chen et al.
Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One
Itamar Avitan, Tal Golan
Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning
Hongyang He, Hongyang Xie, Haochen You et al.
Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
Anupam Pani, Yanchao Yang
Generalization vs Specialization under Concept Shift
Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn
Learning CAD Modeling Sequences via Projection and Part Awareness
Yang Liu, Daxuan Ren, Yijie Ding et al.
Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue
Guohao Sun, Can Qin, Yihao Feng et al.
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
Xihang Qiu, Jiarong Cheng, Yuhao Fang et al.
CF-VLM：CounterFactual Vision-Language Fine-tuning
jusheng zhang, Kaitong Cai, Yijia Fan 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.
Spatial Preference Rewarding for MLLMs Spatial Understanding
Han Qiu, Peng Gao, Lewei Lu et al.
WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction
shengchuan gao, Shuo Wang, Yabiao Wang et al.
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition
Yangfu Li, Hongjian Zhan, Qi Liu et al.
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
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
Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection
Zhaoyang Li, Zhu Teng, Baopeng Zhang et al.
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.
Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems
Peiran Yu, Junyi Li, Heng Huang
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
Donghao Sun, Xi Wang, Xu Yang et al.
RESuM: A Rare Event Surrogate Model for Physics Detector Design
Ann-Kathrin Schuetz, Alan Poon, Aobo Li
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
Zhimin Chen, Xuewei Chen, Xiao Guo et al.
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.
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor et al.
SpecTRe-GS: Modeling Highly Specular Surfaces with Reflected Nearby Objects by Tracing Rays in 3D Gaussian Splatting
Jiajun Tang, Fan Fei, Zhihao Li et al.
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay et al.
Deep Legendre Transform
Aleksey Minabutdinov, Patrick Cheridito
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging
Zepeng Su, zhulin liu, Zongyan Zhang et al.
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance
Ali Farajzadeh, Danyal Saeed, Syed M Abbas et al.
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration
Xiaomeng Fu, Jia Li