Most Cited 2024 "diffusion policy learning" Papers
12,324 papers found • Page 35 of 62
Conference
Knowledge Enhanced Representation Learning for Drug Discovery
Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martinez et al.
PFStorer: Personalized Face Restoration and Super-Resolution
Tuomas Varanka, Tapani Toivonen, Soumya Tripathy et al.
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Pum Jun Kim, Seojun Kim, Jaejun Yoo
Disjoint Partial Enumeration without Blocking Clauses
Giuseppe Spallitta, Roberto Sebastiani, Armin Biere
Embedded Feature Selection on Graph-Based Multi-View Clustering
Guangfei Li, Haizhou Yang, Quanxue Gao et al.
Towards Compositionality in Concept Learning
Adam Stein, Aaditya Naik, Yinjun Wu et al.
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
Lizhe Liu, Bohua Wang, Hongwei Xie et al.
F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
Sitong Su, Jianzhi Liu, Lianli Gao et al.
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Allen Chang, Matthew C. Fontaine, Serena Booth et al.
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han, Pratik Kumar Jawanpuria, Bamdev Mishra
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
Yutong Chen, Yifan Zhan, Zhihang Zhong et al.
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
Xunjiang Gu, Guanyu Song, Igor Gilitschenski et al.
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making
Kate Donahue, Sreenivas Gollapudi, Kostas Kollias
Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity
Chang He, Zhaoye Pan, Xiao Wang et al.
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
Ziyang Yu, Wenbing Huang, Yang Liu
PolyRoom: Room-aware Transformer for Floorplan Reconstruction
Yuzhou Liu, Lingjie Zhu, Xiaodong Ma et al.
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji, Pei Ke, Hongning Wang et al.
Diffusion Models as Optimizers for Efficient Planning in Offline RL
Renming Huang, Yunqiang Pei, Guoqing Wang et al.
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle Robinson et al.
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
Liangwei Chen, Xiren Zhou, Huanhuan Chen
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
Haosen SUN, Lujun Li, Peijie Dong et al.
Online Submodular Maximization via Online Convex Optimization
Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li, Jiawei Xu, Lei Han et al.
Spatial-Semantic Collaborative Cropping for User Generated Content
Yukun Su, Yiwen Cao, Jingliang Deng et al.
Universal Backdoor Attacks
Benjamin Schneider, Nils Lukas, Florian Kerschbaum
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
Zhiyuan Min, Yawei Luo, Wei Yang et al.
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts
Youssef Mansour, Xuyang Zhong, Serdar Caglar et al.
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.
EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING
Siyu Ren, Zhiyong Wu, Kenny Zhu
High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field
Minghan Qin, Yifan Liu, Yuelang Xu et al.
Off-Policy Primal-Dual Safe Reinforcement Learning
Zifan Wu, Bo Tang, Qian Lin et al.
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
Hongtao Wu, Yijun Yang, Angelica I Aviles-Rivero et al.
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths
Xianyu Chen, Ming Jiang, Qi Zhao
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius et al.
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance
Jiedong Zhuang, Jiaqi Hu, Lianrui Mu et al.
Eluder-based Regret for Stochastic Contextual MDPs
Orin Levy, Asaf Cassel, Alon Cohen et al.
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Yiyang Ma, Wenhan Yang, Jiaying Liu
Thin-Shell Object Manipulations With Differentiable Physics Simulations
Yian Wang, Juntian Zheng, Zhehuan Chen et al.
Large-Scale Multi-Robot Coverage Path Planning via Local Search
Jingtao Tang, Hang Ma
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
Lee Eungbean, Somi Jeong, Kwanghoon Sohn
Classification Under Strategic Self-Selection
Guy Horowitz, Yonatan Sommer, Moran Koren et al.
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation
Yiwei Ma, Zhekai Lin, Jiayi Ji et al.
CFEVER: A Chinese Fact Extraction and VERification Dataset
Ying-Jia Lin, ChunYi Lin, Chia-Jen Yeh et al.
Towards Principled Representation Learning from Videos for Reinforcement Learning
Dipendra Kumar Misra, Akanksha Saran, Tengyang Xie et al.
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought
Chunhao LU, Qiang Lu, Jake Luo
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Jiabin Lin, Shana Moothedath, Namrata Vaswani
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang et al.
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
Yongxian Wei, Zixuan Hu, Li Shen et al.
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Qiwei Di, Heyang Zhao, Jiafan He et al.
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.
3D Single-object Tracking in Point Clouds with High Temporal Variation
Qiao Wu, Kun Sun, Pei An et al.
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee et al.
One-hot Generalized Linear Model for Switching Brain State Discovery
Chengrui Li, Soon Ho Kim, Chris Rodgers et al.
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation
Jack Lu, Ryan Teehan, Mengye Ren
Deep Reinforcement Learning for Modelling Protein Complexes
Ziqi Gao, Tao Feng, Jiaxuan You et al.
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Ziyao Wang, Jianyu Wang, Ang Li
A fast algorithm to simulate nonlinear resistive networks
Benjamin Scellier
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
Haitong LIU, Qiang Li, Hoi To Wai
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
Zekun Qian, Ruize Han, Wei Feng et al.
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtarik
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
Xingqiang Zhao, Hai Wan, Kunxun Qi
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
guangyan li, Yongqiang Tang, Wensheng Zhang
Semantically-correlated memories in a dense associative model
Thomas F Burns
Adaptive Conformal Inference by Betting
Aleksandr Podkopaev, Darren Xu, Kuang-chih Lee
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
Bhargav Ghanekar, Salman Siddique Khan, Pranav Sharma et al.
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
Riemannian Multinomial Logistics Regression for SPD Neural Networks
Ziheng Chen, Yue Song, Gaowen Liu et al.
TexTile: A Differentiable Metric for Texture Tileability
Carlos Rodriguez-Pardo, Dan Casas, Elena Garces et al.
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
Junho Park, Kyeongbo Kong, Suk-Ju Kang
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi et al.
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi, Yaoliang Yu, YANG CAO
Bottom-Up Domain Prompt Tuning for Generalized Face Anti-Spoofing
SI-QI LIU, Qirui Wang, Pong Chi Yuen
VidLA: Video-Language Alignment at Scale
Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan et al.
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
YongJin Yang, Taehyeon Kim, Se-Young Yun
Accelerating Image Super-Resolution Networks with Pixel-Level Classification
Jinho Jeong, Jinwoo Kim, Younghyun Jo et al.
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
Yiyang Chen, Lunhao Duan, Shanshan Zhao et al.
The More You See in 2D the More You Perceive in 3D
Xinyang Han, Zelin Gao, Angjoo Kanazawa et al.
3D Geometric Shape Assembly via Efficient Point Cloud Matching
Nahyuk Lee, Juhong Min, Junha Lee et al.
Text2City: One-Stage Text-Driven Urban Layout Regeneration
Yiming Qin, Nanxuan Zhao, Bin Sheng et al.
BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics
Wenqian Zhang, Molin Huang, Yuxuan Zhou et al.
RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency
Ziming Sun, Yuan Liang, Zejun Ma et al.
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation
YUE XU, Yong-Lu Li, Kaitong Cui et al.
Trainable Highly-expressive Activation Functions
Irit Chelly, Shahaf Finder, Shira Ifergane et al.
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
Cheeun Hong, Kyoung Mu Lee
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Yasar Utku Alcalar, Mehmet Akcakaya
Cross-spectral Gated-RGB Stereo Depth Estimation
Samuel Brucker, Stefanie Walz, Mario Bijelic et al.
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
Matteo Farina, Massimiliano Mancini, Elia Cunegatti et al.
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
Yinhua Piao, Sangseon Lee, Yijingxiu Lu et al.
Colorizing Monochromatic Radiance Fields
Yean Cheng, Renjie Wan, Shuchen Weng et al.
A Benchmark Study on Calibration
Linwei Tao, Younan Zhu, Haolan Guo et al.
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
Carlos Hinojosa, Shuming Liu, Bernard Ghanem
Using Artificial Populations to Study Psychological Phenomena in Neural Models
Jesse Roberts, Kyle Moore, Drew Wilenzick et al.
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, WenLi Du
Activity-Biometrics: Person Identification from Daily Activities
Shehreen Azad, Yogesh S. Rawat
Learning Cross-hand Policies of High-DOF Reaching and Grasping
Qijin She, Shishun Zhang, Yunfan Ye et al.
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
Hao Hu, yiqin yang, Jianing Ye et al.
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus van der Linden, Emir Demirović
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
Jimyeong Kim, Jungwon Park, Wonjong Rhee
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen, Dinesh Jayaraman, Yang Gao
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
Junpeng Fang, Gongduo Zhang, Qing Cui et al.
Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
Yuhwan Jeong, Hoonhee Cho, Kuk-Jin Yoon
Restoration by Generation with Constrained Priors
Zheng Ding, Xuaner Zhang, Zhuowen Tu et al.
General Point Model Pretraining with Autoencoding and Autoregressive
Zhe Li, Zhangyang Gao, Cheng Tan et al.
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text
Junshu Tang, Yanhong Zeng, Ke Fan et al.
Learning to Continually Learn with the Bayesian Principle
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Chandra Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
Masahiro Kato, Oga Akihiro, Wataru Komatsubara et al.
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
Yining Shi, Kun JIANG, Ke Wang et al.
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana et al.
Cross Initialization for Face Personalization of Text-to-Image Models
Lianyu Pang, Jian Yin, Haoran Xie et al.
Invertible Neural Warp for NeRF
Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran et al.
Prompting Future Driven Diffusion Model for Hand Motion Prediction
Bowen Tang, Kaihao Zhang, Wenhan Luo et al.
Generating Universal Adversarial Perturbations for Quantum Classifiers
Gautham Anil, Vishnu Vinod, Apurva Narayan
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers
Duo Peng, Qiuhong Ke, Jun Liu
Audio-visual Generalized Zero-shot Learning the Easy Way
Shentong Mo, Pedro Morgado
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis
Jason Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani et al.
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events
Yijin Li, Yichen Shen, Zhaoyang Huang et al.
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang, Zhixiang Chi, Yanan Wu et al.
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei et al.
Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
Jinyoung Jun, Jae-Han Lee, Chang-Su Kim
A General Framework for Learning from Weak Supervision
Hao Chen, Jindong Wang, Lei Feng et al.
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park, Jeongyeon Hwang, Sunung Mun et al.
Lyapunov-Stable Deep Equilibrium Models
Haoyu Chu, Shikui Wei, Ting Liu et al.
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.
ARoFace: Alignment Robustness to Improve Low-quality Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei et al.
SHIC: Shape-Image Correspondences with no Keypoint Supervision
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior
Shen Jianbing, Wencheng Han
Revisiting Data Augmentation in Deep Reinforcement Learning
Jianshu Hu, Yunpeng Jiang, Paul Weng
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
Qin Lei, Jiang Zhong, Qizhu Dai
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
Ling Gao, Daniel Gehrig, Hang Su et al.
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
Zhongyi Shui, Sunyi Zheng, Chenglu Zhu et al.
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits
Wang Chi Cheung, Vincent Tan, Zixin Zhong
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
Yeonguk Yu, Sungho Shin, Seunghyeok Back et al.
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic, Aleksandra Korolova, David Kempe et al.
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
Zhening Liu, XINJIE ZHANG, Jiawei Shao et al.
Kernel Semi-Implicit Variational Inference
Ziheng Cheng, Longlin Yu, Tianyu Xie et al.
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation
Jian Ma, Chen Chen, Qingsong Xie et al.
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung et al.
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu, Hieu Le, Dimitris Samaras
Effective Structural Encodings via Local Curvature Profiles
Lukas Fesser, Melanie Weber
HumMUSS: Human Motion Understanding using State Space Models
Arnab Mondal, Stefano Alletto, Denis Tome
Delta-AI: Local objectives for amortized inference in sparse graphical models
Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin et al.
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation
Wenliang Zhao, Haolin Wang, Jie Zhou et al.
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting
Junwu Zhang, Zhenyu Tang, Yatian Pang et al.
Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution
Qing Cai, Mu Li, Dongwei Ren et al.
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
Yixuan Zhang, Boyu Li, Zenan Ling et al.
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Gaurav Bhatt, Leonid Sigal, James Ross
Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
Xiao Zhang, David Yunis, Michael Maire
Reachability of Fair Allocations via Sequential Exchanges
Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong et al.
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
Bo Zou, Chao Yang, Yu Qiao et al.
Variational Schrödinger Diffusion Models
Wei Deng, Weijian Luo, Yixin Tan et al.
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Jiaxuan Chen, Yu Qi, Yueming Wang et al.
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash et al.
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.
NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation
Ziyi Chen, Xiaolong Wu, Yu Zhang
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim, Dongha Lee, SeongKu Kang et al.
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
Zhiyuan Zhang, Licheng Yang, Zhiyu Xiang
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
Tales Carvalho, Kenneth Tjhia, Levi Lelis
Looking 3D: Anomaly Detection with 2D-3D Alignment
Ankan Kumar Bhunia, Changjian Li, Hakan Bilen
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin, Xiang Ren
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari et al.
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
Pavel Suma, Giorgos Kordopatis-Zilos, Ahmet Iscen et al.
Path-Guided Particle-based Sampling
Mingzhou Fan, Ruida Zhou, Chao Tian et al.
Task-Aware Encoder Control for Deep Video Compression
Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.
What Sketch Explainability Really Means for Downstream Tasks?
Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia et al.
fairret: a Framework for Differentiable Fairness Regularization Terms
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
Towards Scene Graph Anticipation
Rohith Peddi, Saksham Singh, Saurabh . et al.
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
Xingguang Zhong, Yue Pan, Cyrill Stachniss et al.
Gated Temporal Diffusion for Stochastic Long-term Dense Anticipation
Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha et al.
Anytime Continual Learning for Open Vocabulary Classification
Zhen Zhu, Yiming Gong, Derek Hoiem
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.
Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field
Yuanzhen Li, Fei LUO, Chunxia Xiao
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang, Peiwen Qiu, Prashant Khanduri et al.
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, YUEMING LYU et al.
FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models
Zhikai Zhang, Yitang Li, Haofeng Huang et al.
3DEgo: 3D Editing on the Go!
Umar Khalid, Hasan Iqbal, Azib Farooq et al.
Exposing Text-Image Inconsistency Using Diffusion Models
Mingzhen Huang, Shan Jia, Zhou Zhou et al.
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
Dong Zhao, Shuang Wang, Qi Zang et al.
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu et al.
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
Xiang Li, Qianli Shen, Kenji Kawaguchi
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
Yunfan Lu, Guoqiang Liang, Yusheng Wang et al.
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly
Liuwan Zhu, Rui Ning, Jiang Li et al.
Understanding Domain Generalization: A Noise Robustness Perspective
Rui Qiao, Bryan Kian Hsiang Low
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo, Yiyang Gu, Huiyu Jiang et al.
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu, Yu Wang, Zeyu Feng et al.
Zero-Shot Multi-Object Scene Completion
Shun Iwase, Katherine Liu, Vitor Guizilini et al.
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection
Zheng Jiang, Jinqing Zhang, Yanan Zhang et al.
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora, Gokul Swamy, Christopher Lu et al.
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou et al.
Early Time Classification with Accumulated Accuracy Gap Control
Liran Ringel, Regev Cohen, Daniel Freedman et al.