Most Cited 2024 "diffusion latent optimization" Papers
12,324 papers found • Page 29 of 62
Conference
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
Zhiyu Zhao, Bingkun Huang, Sen Xing et al.
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun, Hongyu Zang, Xin Li et al.
Conformalized Adaptive Forecasting of Heterogeneous Trajectories
Yanfei Zhou, Lars Lindemann, Matteo Sesia
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li, Zhanke Zhou, Jiangchao Yao et al.
TexOct: Generating Textures of 3D Models with Octree-based Diffusion
Jialun Liu, Chenming Wu, Xinqi Liu et al.
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Wanying Wang, Yichen Zhu, Yirui Zhou et al.
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Zeliang Zhang, Mingqian Feng, Zhiheng Li et al.
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Kernel Diffusion: An Alternate Approach to Blind Deconvolution
Yash Sanghvi, Yiheng Chi, Stanley Chan
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
Taewoo Kim, Hoonhee Cho, Kuk-Jin Yoon
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
Zhe Ma, Jianfeng Dong, Shouling Ji et al.
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Sunil Hwang, Jaehong Yoon, Youngwan Lee et al.
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
Soumen Basu, Mayuna Gupta, Chetan Madan et al.
Optimal Sample Complexity of Contrastive Learning
Noga Alon, Dmitrii Avdiukhin, Dor Elboim et al.
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
Kumaranage Ravindu Nagasinghe, Honglu Zhou, Malitha Gunawardhana et al.
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang, David Bombara, Heng Yang
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin et al.
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Hao Zhang, Fang Li, Samyak Rawlekar et al.
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
Alireza Ganjdanesh, Yan Kang, Yuchen Liu et al.
Robustly Learning Single-Index Models via Alignment Sharpness
Nikos Zarifis, Puqian Wang, Ilias Diakonikolas et al.
DAFA: Distance-Aware Fair Adversarial Training
Hyungyu Lee, Saehyung Lee, Hyemi Jang et al.
Unsupervised Gaze Representation Learning from Multi-view Face Images
Yiwei Bao, Feng Lu
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
Yutong Xie, Qi Chen, Sinuo Wang et al.
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments
Yusuke Takimoto, Hikari Takehara, Hiroyuki Sato et al.
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
Fengyuan Liu, Haochen Luo, Yiming Li et al.
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti, Maxence Faldor, Borja G. León et al.
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
Jiaqi Xu, Mengyang Wu, Xiaowei Hu et al.
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti et al.
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
Lokesh Nagalapatti, Akshay Iyer, Abir De et al.
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.
Training-Free Model Merging for Multi-target Domain Adaptation
Wenyi Li, Huan-ang Gao, Mingju Gao et al.
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian et al.
Understanding and Improving Optimization in Predictive Coding Networks
Nicholas Alonso, Jeffrey Krichmar, Emre Neftci
SINDER: Repairing the Singular Defects of DINOv2
Haoqi Wang, Tong Zhang, Mathieu Salzmann
Robust Nonparametric Regression under Poisoning Attack
Puning Zhao, Zhiguo Wan
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang et al.
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen et al.
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke, Hang Yu, Jianguo Li et al.
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu, Fuxun Yu, Zirui Xu et al.
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
Minqin Zhu, Anpeng Wu, Haoxuan Li et al.
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
Wen Yin, Jian Lou, Pan Zhou et al.
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Weiyu Sun, Xinyu Zhang, Hao LU et al.
Exploring Transformer Extrapolation
Zhen Qin, Yiran Zhong, Hui Deng
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
JungEun Kim, Hangyul Yoon, Geondo Park et al.
ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding
Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.
Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases
Xinpeng Liu, Yong-Lu Li, AILING ZENG et al.
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
Tim Franzmeyer, Stephen McAleer, Joao F. Henriques et al.
Multi-Attribute Interactions Matter for 3D Visual Grounding
Can Xu, Yuehui Han, Rui Xu et al.
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling
Xinhao Tao, Junyan Cao, Yan Hong et al.
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Wenlong Zhang, Xiaohui Li, Xiangyu Chen et al.
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V Huynh, Lauren Gillespie, Jael Lopez-Saucedo et al.
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui et al.
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild
Chen Guo, Tianjian Jiang, Manuel Kaufmann et al.
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
Moyang Li, Peng Wang, Lingzhe Zhao et al.
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Queau et al.
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho et al.
Accelerating Neural Field Training via Soft Mining
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma et al.
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation
Hyunwoo Yu, Yubin Cho, Beoungwoo Kang et al.
Monocular Occupancy Prediction for Scalable Indoor Scenes
Hongxiao Yu, Yuqi Wang, Yuntao Chen et al.
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong et al.
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang, Lei Zhang
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
Dongyoung Kim, Jinwoo Kim, Junsang Yu et al.
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
Rajeev Yasarla, Manish Kumar Singh, Hong Cai et al.
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
Qingsong Yan, Qiang Wang, Kaiyong Zhao et al.
Global Counterfactual Directions
Bartlomiej Sobieski, Przemyslaw Biecek
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns et al.
Improving Interpretation Faithfulness for Vision Transformers
Lijie Hu, Yixin Liu, Ninghao Liu et al.
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Zhaoxi Mu, Xinyu Yang, Sining Sun et al.
DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment
Yunpeng Bai, Xintao Wang, Yanpei Cao et al.
C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition
Rongchang Li, Zhenhua Feng, Tianyang Xu et al.
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang, Hui Ren, Xuming He
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sunghwan Hong, Seokju Cho, Seungryong Kim et al.
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jiachun Pan, Jun Hao Liew et al.
Data-efficient Large Vision Models through Sequential Autoregression
Zhiwei Hao, Jianyuan Guo, Chengcheng Wang et al.
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
Ding-Chu Zhang, Zhi Zhou, Yufeng Li
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
Yuxin Deng, Jiayi Ma
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou et al.
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
Chen Zhao, Tong Zhang, Mathieu Salzmann
Eliminating Warping Shakes for Unsupervised Online Video Stitching
Lang Nie, Chunyu Lin, Kang Liao et al.
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi et al.
Memory-Efficient Reversible Spiking Neural Networks
Hong Zhang, Yu Zhang
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models
Saman Motamed, Danda Pani Paudel, Luc Van Gool
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong, Peter Chin
Generative Powers of Ten
Xiaojuan Wang, Janne Kontkanen, Brian Curless et al.
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation
Shilin Yan, Xiaohao Xu, Renrui Zhang et al.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng et al.
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
Jiaqi He, Zhihua Wang, Leon Wang et al.
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou et al.
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
Yuanhao Zhai, Kevin Lin, Linjie Li et al.
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang, Huazheng Pan, Tao Zhang et al.
DP-SGD Without Clipping: The Lipschitz Neural Network Way
Louis Béthune, Thomas Massena, Thibaut Boissin et al.
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel et al.
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Allen Tran, Aurelien Bibaut, Nathan Kallus
Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
Ge Li, Hongyi Zhou, Dominik Roth et al.
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Nikita Tsoy, Nikola Konstantinov
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
Wei WU, Qingnan Fan, Shuai Qin et al.
H-GAP: Humanoid Control with a Generalist Planner
Zhengyao Jiang, Yingchen Xu, Nolan Wagener et al.
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
Gengrui Zhang, Xiaoshuang Chen, Yao WANG et al.
GIO: Gradient Information Optimization for Training Dataset Selection
Dante Everaert, Christopher Potts
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
Hyesong Choi, Hyejin Park, Kwang Moo Yi et al.
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
Ruiyang Zhang, Hu Zhang, Hang Yu et al.
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
Thomy Phan, Taoan Huang, Bistra Dilkina et al.
From GARCH to Neural Network for Volatility Forecast
Pengfei Zhao, Haoren ZHU, Wilfred Ng et al.
Initialization Matters for Adversarial Transfer Learning
Andong Hua, Jindong Gu, Zhiyu Xue et al.
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon et al.
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models
Xiaoyu Zhu, Hao Zhou, Pengfei Xing et al.
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
Lehong Wu, Lilang Lin, Jiahang Zhang et al.
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen, Ashok Cutkosky
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Runyi Li, Xuhan SHENG, Weiqi Li et al.
Timestep-Aware Correction for Quantized Diffusion Models
Yuzhe YAO, Feng Tian, Jun Chen et al.
TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning
Huabin Liu, Xiao Ma, Cheng Zhong et al.
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na, Yunkyeong Seo, Il-chul Moon
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
Paul Roetzer, Ahmed Abbas, Dongliang Cao et al.
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
Zhiyao Ren, Yibing Zhan, Liang Ding et al.
The Complexity of Fair Division of Indivisible Items with Externalities
Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna et al.
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux et al.
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
Jinrui Zhang, Teng Wang, Haigang Zhang et al.
Neural Spectral Decomposition for Dataset Distillation
Yang Shaolei, Shen Cheng, Mingbo Hong et al.
Nonverbal Interaction Detection
Jianan Wei, Tianfei Zhou, Yi Yang et al.
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin et al.
Stochastic Modified Equations and Dynamics of Dropout Algorithm
Zhongwang Zhang, Yuqing Li, Tao Luo et al.
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model
Zhongqun Zhang, Hengfei Wang, Ziwei Yu et al.
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
Anurag Das, Xinting Hu, Li Jiang et al.
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.
Zhuoyi Yang, Heyang Jiang, Wenyi Hong et al.
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun, Sihong He, Fei Miao et al.
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng, Pengjie Gu, Bo An et al.
FedLF: Layer-Wise Fair Federated Learning
Zibin Pan, Chi Li, Fangchen Yu et al.
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
Yujiao Shi, HONGDONG LI, Akhil Perincherry et al.
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
KONSTANTINA NIKOLAIDOU, George Retsinas, Giorgos Sfikas et al.
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang, Wei Chow, Yifei Sun et al.
Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions
Weng Fei Low, Gim Hee Lee
1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
Long Tang, Dengpan Ye, Yunna Lv et al.
Workflow Discovery from Dialogues in the Low Data Regime
David Vazquez, Stefania Raimondo, Christopher Pal et al.
Generalized Event Cameras
Varun Sundar, Matthew Dutson, Andrei Ardelean et al.
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Chenglong Wang, Hang Zhou, Yimin Hu et al.
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
Da Luo, Yanglei Gan, Rui Hou et al.
Few-shot NeRF by Adaptive Rendering Loss Regularization
Qingshan Xu, Xuanyu Yi, Jianyao Xu et al.
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
Zhaochen Liu, Zhixuan Li, Tingting Jiang
Delivering Inflated Explanations
Yacine Izza, Alexey Ignatiev, Peter Stuckey et al.
EDformer: Transformer-Based Event Denoising Across Varied Noise Levels
Bin Jiang, Bo Xiong, Bohan Qu et al.
Position: Insights from Survey Methodology can Improve Training Data
Stephanie Eckman, Barbara Plank, Frauke Kreuter
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He, Kai Li, Yifan Zang et al.
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
David T. Hoffmann, Simon Schrodi, Jelena Bratulić et al.
Dataset Quantization with Active Learning based Adaptive Sampling
Zhenghao Zhao, Yuzhang Shang, Junyi Wu et al.
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge
Haibo Wang, Weifeng Ge
Critical Learning Periods Emerge Even in Deep Linear Networks
Michael Kleinman, Alessandro Achille, Stefano Soatto
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
Yifan Zhan, Zhuoxiao Li, Muyao Niu et al.
Relational Programming with Foundational Models
Ziyang Li, Jiani Huang, Jason Liu et al.
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
Nhat Hoang, Kehong Gong, Chuan Guo et al.
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation
Kihong Kim, Haneol Lee, Jihye Park et al.
Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
Angchi Xu, Wei-Shi Zheng
Real-time 3D-aware Portrait Editing from a Single Image
Qingyan Bai, Zifan Shi, Yinghao Xu et al.
Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder, Daniil Dmitriev, Hugo Cui et al.
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao et al.
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
Rui Li, LiYang He, Qi Liu et al.
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation
Yuanhong Chen, Chong Wang, Yuyuan Liu et al.
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune et al.
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
Lorenzo Bardone, Sebastian Goldt
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du, Yiyou Sun, Sharon Li
Knowledge Graph Error Detection with Contrastive Confidence Adaption
Xiangyu Liu, Yang Liu, Wei Hu
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
Ian Huang, Guandao Yang, Leonidas Guibas
Federated Causal Discovery from Heterogeneous Data
Loka Li, Ignavier Ng, Gongxu Luo et al.
Cycle Self-Refinement for Multi-Source Domain Adaptation
Chaoyang Zhou, Zengmao Wang, Bo Du et al.
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Changsheng Lu, Piotr Koniusz
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
Haotian Ling, Zhihai Wang, Jie Wang
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu, Hanghang Tong
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding
Ruihuang Li, Zhengqiang ZHANG, Chenhang He et al.
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.
Bridging the Gap Between End-to-End and Two-Step Text Spotting
Mingxin Huang, Hongliang Li, Yuliang Liu et al.
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation
Taekyung Ki, Dongchan Min, Gyeongsu Chae
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Bao Li, Zhenyu Liu, Lizhi Shao et al.
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion
Huadong Li, Minhao Jing, Jin Wang et al.
Real-time Holistic Robot Pose Estimation with Unknown States
Shikun Ban, Juling Fan, Xiaoxuan Ma et al.
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
Mengchen Zhang, Tong Wu, Tai Wang et al.
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
Minsik Cho, Mohammad Rastegari, Devang Naik
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing
Xudong Wang, Ke-Yue Zhang, Taiping Yao et al.
Multi-Dimensional Fair Federated Learning
Cong Su, Guoxian Yu, Jun Wang et al.
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi, Sangwon Jung, Hongjoon Ahn et al.
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
Yu Cao, Shaogang Gong
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
Dylan Li, Gyungin Shin
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Kai Cui, Sascha Hauck, Christian Fabian et al.
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Tao Wu, Tie Luo, Donald Wunsch
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
Jianhui Li, Shilong Liu, Zidong Liu et al.
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen, Liuzhicheng Liuzhicheng, Xutao Wang et al.
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar et al.
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschläger, Niklas Kemper, Leon Hetzel et al.