Most Cited 2025 "robust model distillation" Papers
22,274 papers found • Page 87 of 112
Conference
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
Gang Yan, Sikai Yang, Wan Du
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
Xiaoyang Zhang, He Fang, Yang Deng et al.
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang et al.
Continuous Adverse Weather Removal via Degradation-Aware Distillation
Xin Lu, Jie Xiao, Yurui Zhu et al.
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
Object-Centric Concept-Bottlenecks
David Steinmann, Wolfgang Stammer, Antonia Wüst et al.
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
Yifei Zhang, Hao Zhu, Alysa Ziying Tan et al.
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits
Cristiano Migali, Marco Mussi, Gianmarco Genalti et al.
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement
huang yongshu, Chen Liu, Minghang Zhu et al.
GSPN-2: Efficient Parallel Sequence Modeling
Hongjun Wang, yitong jiang, Collin McCarthy et al.
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
Xabier de Juan, Santiago Mazuelas
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
Jiabei Cheng, Changxi Chi, Jingbo Zhou et al.
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs
Junsheng Wang, Nieqing Cao, Yan Ding et al.
FIFA: Fine-grained Inter-frame Attention for Driver's Video Gaze Estimation
Daosong Hu, Mingyue Cui, Kai Huang
ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection
Jiaqi Zhao, Zeyu Ding, Yong Zhou et al.
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
Sum Estimation under Personalized Local Differential Privacy
Dajun Sun, Wei Dong, Yuan Qiu et al.
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.
MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
Pranav Mamidanna, Thomas Klotz, Dimitrios Chalatsis et al.
Discovering Compositional Hallucinations in LVLMs
Sibei Yang, Ge Zheng, Jiajin Tang et al.
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
Thomas Decker, Volker Tresp, Florian Buettner
Federated Continual Learning via Orchestrating Multi-Scale Expertise
Xiaoyang Yi, Yang Liu, Binhan Yang et al.
Robust Label Proportions Learning
Jueyu Chen, Wantao Wen, Yeqiang Wang et al.
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David Parkes
Information-Theoretic Discrete Diffusion
Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
Qianxun Xu, Zuchuan Li
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng et al.
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li et al.
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
Paul Roetzer, Viktoria Ehm, Daniel Cremers et al.
Modelling the control of offline processing with reinforcement learning
Eleanor Spens, Neil Burgess, Tim Behrens
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts
Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Dongseob Kim, Hyunjung Shim
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
Cristian Sbrolli, Matteo Matteucci
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu, Yiu-ming Cheung, Bo Han et al.
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
Gaussian Processes for Shuffled Regression
Masahiro Kohjima
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
Stephen Zhao, Aidan Li, Rob Brekelmans et al.
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
Tongyang Li, Xinzhao Wang, Yexin Zhang
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation
Yuzhen Liu, Qiulei Dong
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
Zixuan Chen, Jiaxin Li, Junxuan Liang et al.
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
Mingge Lu, Jingwei Sun, Junqing Lin et al.
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
Haonan Wang, Jingyu Lu, Hongrui Li et al.
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun et al.
Measuring AI Ability to Complete Long Software Tasks
Thomas Kwa, Ben West, Joel Becker et al.
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
Zhou Yang, Mingtao Feng, Tao Huang et al.
Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
Liang Peng, Boxi Wu, Haoran Cheng et al.
Median Selection with Noisy and Structural Information
Chenglin Fan, Mingyu Kang
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
Zhenguang Liu, Chao Shuai, Shaojing Fan et al.
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
Xiong Zhang, Zhenli He, Changlong Fu et al.
Decoupled Entropy Minimization
Jing Ma, Hanlin Li, Xiang Xiang
SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking
Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
Dahao Xu, Jiahua Rao, Mingming Zhu et al.
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities
Federico Lincetto, Gianluca Agresti, Mattia Rossi et al.
Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
Yimin Jiang, Huibing Wang, Jinjia peng
MVSMamba: Multi-View Stereo with State Space Model
Jianfei Jiang, Qiankun Liu, Hongyuan Liu et al.
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou et al.
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
Ximing Li, Yuanchao Dai, Bing Wang et al.
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter et al.
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
Ying Li, Chengfei Lyu, Huan Wang
Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
Jiehua Chen, Jiong Guo, Yinghui Wen
Convergence Rates of Constrained Expected Improvement
Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.
Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.
Frequency-Aware Token Reduction for Efficient Vision Transformer
DongJae Lee, Jiwan Hur, Jaehyun Choi et al.
When Models Don’t Collapse: On the Consistency of Iterative MLE
Daniel Barzilai, Ohad Shamir
IndoorGS: Geometric Cues Guided Gaussian Splatting for Indoor Scene Reconstruction
Cong Ruan, Yuesong Wang, Bin Zhang et al.
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
Juntong Wang, Xiyuan Wang, Muhan Zhang
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
Weihao Bo, Yanpeng Sun, Yu Wang et al.
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models
Zixun Fang, Kai Zhu, Zhiheng Liu et al.
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
Kyurae Kim, Yian Ma, Trevor Campbell et al.
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
Yi Yu, Weizhen Han, Libing Wu et al.
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
Xuan Tang, Han Zhang, Yuan Cao et al.
Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
Alexandru Crăciun, Debarghya Ghoshdastidar
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Abbott
How to Scale Second-Order Optimization
Charlie Chen, Shikai Qiu, Hoang Phan et al.
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin
Optimal Mistake Bounds for Transductive Online Learning
Zachary Chase, Steve Hanneke, Shay Moran et al.
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
Bar Mahpud, Or Sheffet
Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
Sibo Tian, Xin Wang, Zeyang Zhang et al.
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper, Tom Wollschläger, Stephan Günnemann
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
Huimin Han, Shaolin Ji
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.
Non-Stationary Structural Causal Bandits
Yeahoon Kwon, Yesong Choe, Soungmin Park et al.
Opportunistic Single-Photon Time of Flight
Sotiris Nousias, Mian Wei, Howard Xiao et al.
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
Yushuai Sun, Zikun Zhou, Dongmei Jiang et al.
Learning from Delayed Feedback in Games via Extra Prediction
Yuma Fujimoto, Kenshi Abe, Kaito Ariu
SpectraLDS: Provable Distillation for Linear Dynamical Systems
Devan Shah, Shlomo Fortgang, Sofiia Druchyna et al.
Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations
Marton Havasi, Brian Karrer, Itai Gat et al.
Unsupervised Discovery of Facial Landmarks and Head Pose
Satyajit Tourani, Siddharth Tourani, Arif Mahmood et al.
Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
Yuxuan Zhou, Xien Liu, Xiao Zhang et al.
Learning Parameterized Skills from Demonstrations
Vedant Gupta, Haotian Fu, Calvin Luo et al.
NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis
Shengrong Li, Qi Zhu, Chunwei Tian et al.
Mixture of Submodules for Domain Adaptive Person Search
Minsu Kim, Seungryong Kim, Kwanghoon Sohn
Exploring Timeline Control for Facial Motion Generation
Yifeng Ma, Jinwei Qi, Chaonan Ji et al.
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
Xinxin You, Qixin Sun, Chenwei Yan et al.
A Counterfactual Semantics for Hybrid Dynamical Systems
Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
Jingjun Yang, Liangwei Fan, Jinpu Zhang et al.
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
Guancheng Wan, Jiaru Qian, Wenke Huang et al.
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
Elena Celledoni, Brynjulf Owren, Chong Shen et al.
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Roman Jacome, Romario Gualdrón-Hurtado, León Suárez-Rodríguez et al.
Decoupled Motion Expression Video Segmentation
Hao Fang, Runmin Cong, Xiankai Lu et al.
A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression
Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
Xiyu Zhang, Chong Bao, YiPeng Chen et al.
Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
Jiesong Liu, Xipeng Shen
FoGE: Fock Space inspired encoding for graph prompting
Takis Chytas, Rudrasis Chakraborty, Vikas Singh
Low Precision Streaming PCA
Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey et al.
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
Ramin Akbari, Milad Afshari, Vishnu Boddeti
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So, Chiwoong Lee, Shinyoung Lee et al.
3D Human Pose Estimation with Muscles
Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data
Alvaro Correia, Christos Louizos
Optimal Online Change Detection via Random Fourier Features
Florian Kalinke, Shakeel Gavioli-Akilagun
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn et al.
Towards 3D Objectness Learning in an Open World
Taichi Liu, Zhenyu Wang, Ruofeng Liu et al.
Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
Yin Hang, Xiaomin He, Peiwen Yuan et al.
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
Kuicai Dong, CHANG YUJING, Shijie Huang et al.
Towards Continual Universal Segmentation
Zihan Lin, Zilei Wang, Xu Wang
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Sehyun Park, Jongjin Lee, Yunseop Shin et al.
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
Sicheng Yang, Zhaohu Xing, Lei Zhu
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu et al.
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna et al.
HMVLM:Human Motion-Vision-Language Model via MoE LoRA
Lei Hu, Yongjing Ye, Shihong Xia
OmniGen-AR: AutoRegressive Any-to-Image Generation
Junke Wang, Xun Wang, Qiushan Guo et al.
CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
Xianhan Tan, Binli Luo, Yu Qi et al.
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan et al.
Cross-Modal 3D Representation with Multi-View Images and Point Clouds
Ziyang Zhou, Pinghui Wang, Zi Liang et al.
Online Prediction with Limited Selectivity
Licheng Liu, Mingda Qiao
Probabilistic Reasoning with LLMs for Privacy Risk Estimation
Jonathan Zheng, Alan Ritter, Sauvik Das et al.
Less is More: Efficient Model Merging with Binary Task Switch
Biqing Qi, Fangyuan Li, Zhen Wang et al.
The Temporal Graph of Bitcoin Transactions
Vahid Jalili
Conformal Prediction for Time-series Forecasting with Change Points
Sophia Sun, Rose Yu
Amortized Active Generation of Pareto Sets
Daniel Steinberg, Asiri Wijesinghe, Rafael Oliveira et al.
Hybrid Latent Representations for PDE Emulation
Ali Can Bekar, Siddhant Agarwal, Christian Hüttig et al.
Fractional Diffusion Bridge Models
Gabriel Nobis, Maximilian Springenberg, Arina Belova et al.
SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path
Yichen Zhu, Weiyu Chen, James Kwok et al.
Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
Ruiqi Xue, Ziqian Zhang, Lihe Li et al.
Unboxed: Geometrically and Temporally Consistent Video Outpainting
Zhongrui Yu, Martina Megaro-Boldini, Robert Sumner et al.
Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
Weijun Lv, Yu Chen, Xiaozhao Fang et al.
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
Xiwen Wei, Mustafa Munir, Radu Marculescu
Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
Bryan Wilder, Angela Zhou
Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models
Kinam Kim, Junha Hyung, Jaegul Choo
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
Zohar Rimon, Elisei Shafer, Tal Tepper et al.
Predicting the Performance of Black-box Language Models with Follow-up Queries
Dylan Sam, Marc Finzi, Zico Kolter
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim et al.
MoRIC: A Modular Region-based Implicit Codec for Image Compression
Gen Li, Haotian Wu, Deniz Gunduz
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee, Junseok Lee, Sangwoo Seo et al.
Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification
Xingyue Liu, Jiahao Qi, Chen Chen et al.
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen, Jiawei Zhang, Minhui Huang et al.
DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhengqiang ZHANG et al.
When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
Zhuo Cao, Heming Du, Bingqing Zhang et al.
Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection
Ruiheng Liu, Haozhe Chen, Boyao Zhao et al.
Estimation of Treatment Effects in Extreme and Unobserved Data
Jiyuan Tan, Vasilis Syrgkanis, Jose Blanchet
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
He Yang, Dongyi Lv, Song Ma et al.
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
Qiwei Wang, Shaoxun Wu, Yujiao Shi
Quantum speedup of non-linear Monte Carlo problems
Jose Blanchet, Yassine Hamoudi, Mario Szegedy et al.
Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
Multi-agent Markov Entanglement
Shuze Chen, Tianyi Peng
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun, Feidi Liu, Zhengming Ding et al.
PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration
Songhao Wu, Ang Lv, xiao feng et al.
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang, Chengpei Wu, Ning Yang
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang, Xiangteng Zhang, Yinuo Wang et al.
Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
Chunlong Xie, Kangjie Chen, Shangwei Guo et al.
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
Jun Jiang, Zijin Yang, Weiming Zhang et al.
Unified all-atom molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett et al.
MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
Rongchao Zhang, Yu Huang, Yongzhi Cao et al.
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
woohyeon Byeon, Giseung Park, Jongseong Chae et al.
Constrained Best Arm Identification
Tyron Lardy, Christina Katsimerou, Wouter Koolen
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li et al.
Domain Generalization in CLIP via Learning with Diverse Text Prompts
Changsong Wen, Zelin Peng, Yu Huang et al.
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
Mirali Purohit, Bimal Gajera, Vatsal Malaviya et al.
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
Yiming Dou, Wonseok Oh, Yuqing Luo et al.
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
Tangwen Qian, Junhe Li, Yile Chen et al.
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
Yujun Kim, Chaewon Moon, Chulhee Yun
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation
Matteo Ceriscioli, Karthika Mohan
Multi-Class Support Vector Machine with Differential Privacy
Jinseong Park, Yujin Choi, Jaewook Lee
Efficient Last-Iterate Convergence in Solving Extensive-Form Games
Linjian Meng, Tianpei Yang, Youzhi Zhang et al.
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
Instance-Optimality for Private KL Distribution Estimation
Jiayuan Ye, Vitaly Feldman, Kunal Talwar
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
Charles W J Pugh, Paulina Nuñez-Valencia, Mafalda Dias et al.
Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression
Zhenqi Dai, Ting Liu, Yanning Zhang
DL2G: Degradation-guided Local-to-Global Restoration for Eyeglass Reflection Removal
Yizhilv, Xiao Lu, Hong Ding et al.
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier et al.
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models
Zitao Yang, Amin Ullah, Shuai Li et al.
RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages
Saurabh Kumar, Abhayjeet Singh, DEEKSHITHA G et al.
BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
Lishen Qu, Zhihao Liu, Shihao Zhou et al.
Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows
Shentong Mo, Yibing Song
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
Gaozheng Pei, Shaojie Lyu, Gong Chen et al.
How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
Yanbiao Ji, Yue Ding, Dan Luo et al.
Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
Eunseo Koh, Sangeek Hyun, MinKyu Lee et al.