Most Cited 2024 "real-world application" Papers
12,324 papers found • Page 57 of 62
Conference
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
Anke Tang, Li Shen, Yong Luo et al.
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning
Yifeng Zhang, Ming Jiang, Qi Zhao
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong, Muhan Zhang, Philip Payne et al.
On the Sample Complexity of Lipschitz Constant Estimation
Stephen Roberts, Julien Huang, Jan-Peter Calliess
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
Mingkun Yang, Ran Zhu, Qing Wang et al.
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
Venkata Sai Surya Subramanyam Duvvuri, Fnu Devvrit, Rohan Anil et al.
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast
Tatsuya Sasaki, Yoshiki Ito, Satoshi Kondo
Less is More: Fewer Interpretable Region via Submodular Subset Selection
Ruoyu Chen, Hua Zhang, Siyuan Liang et al.
Federated Text-driven Prompt Generation for Vision-Language Models
Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi et al.
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
Zhe Wu, Haofei Lu, Junliang Xing et al.
On the Effect of Batch Size in Byzantine-Robust Distributed Learning
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype
Xumin Yu, Yanbo Wang, Jie Zhou et al.
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
DONG LAO, Fengyu Yang, Daniel Wang et al.
Revisit Self-supervision with Local Structure-from-Motion
Shengjie Zhu, Xiaoming Liu
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING
DINGYUAN SHI, Yongxin Tong, Zimu Zhou et al.
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
David Bell, Yujie Lu, Shinda Huang et al.
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
Frank Cole, Yulong Lu
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
Wei Huang, Ye Shi, Zhongyi Cai et al.
$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
Yining Jiao, Carlton ZDANSKI, Julia Kimbell et al.
Towards Offline Opponent Modeling with In-context Learning
Yuheng Jing, Kai Li, Bingyun Liu et al.
Hybrid Directional Graph Neural Network for Molecules
Junyi An, Chao Qu, Zhipeng Zhou et al.
Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs
Shuchao Pang, Ruhao Ma, Bing Li et al.
Gradient-based Out-of-Distribution Detection
Taha Entesari, Sina Sharifi, Bardia Safaei et al.
Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation
Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu
DreamClean: Restoring Clean Image Using Deep Diffusion Prior
Jie Xiao, Ruili Feng, Han Zhang et al.
Probabilistic Adaptation of Black-Box Text-to-Video Models
Sherry Yang, Yilun Du, Bo Dai et al.
FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors
Chen-Wei Xie, Siyang Sun, Liming Zhao et al.
Concept Bottleneck Generative Models
Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.
An interpretable error correction method for enhancing code-to-code translation
Min Xue, Artur Andrzejak, Marla Leuther
Fiber Monte Carlo
Nick Richardson, Deniz Oktay, Yaniv Ovadia et al.
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
Dong Wei, Huaijiang Sun, Bin Li et al.
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
Yujia Wang, Yuanpu Cao, Jingcheng Wu et al.
Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
Jacob Prince, Gabriel Fajardo, George Alvarez et al.
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
Yuxin Li, Wenchao Chen, Xinyue Hu et al.
4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation
Feng Cheng, Mi Luo, Huiyu Wang et al.
Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
Keita Suzuki, Taiji Suzuki
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
Zi Wang, Bin Hu, Aaron Havens et al.
3D Gaussian Parametric Head Model
Yuelang Xu, Lizhen Wang, Zerong Zheng et al.
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
Kuan Li, YiWen Chen, Yang Liu et al.
Debiasing Attention Mechanism in Transformer without Demographics
Shenyu Lu, Yipei Wang, Xiaoqian Wang
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao et al.
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan et al.
CrossScore: A Multi-View Approach to Image Evaluation and Scoring
Zirui Wang, Wenjing Bian, Victor Adrian Prisacariu
Deep Companion Learning: Enhancing Generalization Through Historical Consistency
Ruizhao Zhu, Venkatesh Saligrama
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
Zecheng Hao, Tong Bu, Xinyu Shi et al.
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
Ziyi Chen, Yi Zhou, Heng Huang
Information Retention via Learning Supplemental Features
Zhipeng Xie, Yahe Li
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
Junoh Lee, Hyunjun Jung, Jinhwi Park et al.
SAS: Structured Activation Sparsification
Yusuke Sekikawa, Shingo Yashima
Dynamics-Informed Protein Design with Structure Conditioning
Urszula Julia Komorowska, Simon Mathis, Kieran Didi et al.
Graph Lottery Ticket Automated
Guibin Zhang, Kun Wang, Wei Huang et al.
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie et al.
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi (Richard) Zhang, Xinyi Chen et al.
Common Sense Reasoning for Deep Fake Detection
Yue Zhang, Ben Colman, Xiao Guo et al.
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki et al.
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
Junyan Cheng, Peter Chin
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Jijin Hu, Ke Li, Yonggang Qi et al.
Fast Equilibrium of SGD in Generic Situations
Zhiyuan Li, Yi Wang, Zhiren Wang
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
Zehao Dou, Yang Song
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
Faisal Hamman, Sanghamitra Dutta
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo et al.
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.
Spline-based Transformers
Prashanth Chandran, Agon Serifi, Markus Gross et al.
SceneTeller: Language-to-3D Scene Generation
Basak Melis Ocal, Maxim Tatarchenko, Sezer Karaoglu et al.
Branch-GAN: Improving Text Generation with (not so) Large Language Models
Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
Junyan Cheng, Peter Chin
A unique M-pattern for micro-expression spotting in long videos
Jinxuan Wang, Shiting Xu, Tong Zhang
Faithful Vision-Language Interpretation via Concept Bottleneck Models
Songning Lai, Lijie Hu, Junxiao Wang et al.
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Yihuan Mao, Chengjie Wu, Xi Chen et al.
Linking in Style: Understanding learned features in deep learning models
Maren Wehrheim, Pamela Osuna Vargas, Matthias Kaschube
A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
Manju Garimella, Denizhan Pak, Justin Wood et al.
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
Chunshu Wu, Ruibing Song, Chuan Liu et al.
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
Wenhua Wu, Kun Hu, Wenxi Yue et al.
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam, Simon Korman
Graph Transformers on EHRs: Better Representation Improves Downstream Performance
Raphael Poulain, Rahmatollah Beheshti
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
Minyang Hu, Hong Chang, Bingpeng Ma et al.
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
Jiechao GUAN, Hui Xiong
Efficient Vision Transformers with Partial Attention
Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana et al.
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
Haochen Luo, Jindong Gu, Fengyuan Liu et al.
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
Liu Xiaoyi, Duxin Chen, Wenjia Wei et al.
FedInverse: Evaluating Privacy Leakage in Federated Learning
DI WU, Jun Bai, Yiliao Song et al.
CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
Xun Jiang, zhuomin chai, Yuxiang Zhao et al.
Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
Quanrui Rao, Lin Wang, Wuying Liu
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
Zhilong Zhang, Yihao Sun, Junyin Ye et al.
VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition
Chenyu Liu, XINLIANG ZHOU, Zhengri Zhu et al.
Neural Rate Control for Learned Video Compression
yiwei zhang, Guo Lu, Yunuo Chen et al.
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Xuan Ju, Ailing Zeng, Yuxuan Bian et al.
Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery
Chao Wang, Zhedong Zheng, Ruijie Quan et al.
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
Jiayang Liu, Yiming Bu, Daniel Tso et al.
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
Ziqi Wang, Chengpeng Hu, Jialin Liu et al.
Local Composite Saddle Point Optimization
Site Bai, Brian Bullins
Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation
Clinton Mo, Kun Hu, Chengjiang Long et al.
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Dongjin Kim, Donggoo Jung, Sungyong Baik et al.
Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception
TIANYOU LUO, Quan Yuan, Yuchen Xia et al.
Neural Neighborhood Search for Multi-agent Path Finding
Zhongxia Yan, Cathy Wu
Reinforcement Learning via Auxillary Task Distillation
Abhinav Narayan Harish, Larry Heck, Josiah P Hanna et al.
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
Feiyang YE, YUEMING LYU, Xuehao Wang et al.
Generalizable Symbolic Optimizer Learning
Xiaotian Song, Peng Zeng, Yanan Sun et al.
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Guangyi Chen, Yuke Li, Xiao Liu et al.
Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning
Seokwon Shin, Hyungrok Do, Youngdoo Son
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
Shikun Sun, Longhui Wei, Zhicai Wang et al.
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano et al.
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
Jonas Seng, Matej Zečević, Devendra Singh Dhami et al.
Active Retrosynthetic Planning Aware of Route Quality
Luotian Yuan, Yemin Yu, Ying Wei et al.
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
yisheng xiao, Juntao Li, Zechen Sun et al.
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
Yuyao Zhang, Lan Wei, Nikolaos Freris
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding
Minh Tran, Yelin Kim, Che-Chun Su et al.
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
Joey Hejna, Rafael Rafailov, Harshit Sikchi et al.
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
Yuxing Tian, Yiyan Qi, Fan Guo
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
Stephen McAleer, John Banister Lanier, Kevin A. Wang et al.
The Trickle-down Impact of Reward Inconsistency on RLHF
Lingfeng Shen, Lingfeng Shen, Sihao Chen et al.
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
Yannis Kalantidis, Mert Bulent SARIYILDIZ, Rafael Rezende et al.
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
Weihao Tan, Wentao Zhang, Shanqi Liu et al.
ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Guanhua Wang, Heyang Qin, Sam Jacobs et al.
Optimization-based Uncertainty Attribution Via Learning Informative Perturbations
Hanjing Wang, Bashirul Azam Biswas, Qiang Ji
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning
Souhail Hadgi, Lei Li, Maks Ovsjanikov
Class Probability Matching with Calibrated Networks for Label Shift Adaption
Hongwei Wen, Annika Betken, Hanyuan Hang
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
Qi Qian, Yuanhong Xu, JUHUA HU
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Jiawei Sun, Kailai Li, Ruoxin Chen et al.
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
Zecheng Hao, Xinyu Shi, Zihan Huang et al.
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models
Pablo Pernías, Dominic Rampas, Mats L. Richter et al.
Pose Guided Fine-Grained Sign Language Video Generation
Tongkai Shi, Lianyu Hu, Fanhua Shang et al.
Sparse MoE with Language Guided Routing for Multilingual Machine Translation
Xinyu Zhao, Xuxi Chen, Yu Cheng et al.
Neural Architecture Retrieval
Xiaohuan Pei, Yanxi Li, Minjing Dong et al.
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes
wei mao, Richard Hartley, Mathieu Salzmann et al.
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li, Dimitri Gominski, Martin Brandt et al.
ADOPD: A Large-Scale Document Page Decomposition Dataset
Jiuxiang Gu, Xiangxi Shi, Jason Kuen et al.
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Manley Roberts, Himanshu Thakur, Christine Herlihy et al.
WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing
Yutang Feng, Sicheng Gao, Yuxiang Bao et al.
Boundary Denoising for Video Activity Localization
Mengmeng Xu, Mattia Soldan, Jialin Gao et al.
On Trajectory Augmentations for Off-Policy Evaluation
Ge Gao, Qitong Gao, Xi Yang et al.
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
Yiliu Wang, Wei Chen, Milan Vojnovic
AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems
Roye Katzav, Amit Giloni, Edita Grolman et al.
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen, Jincheng YU, Chongjian GE et al.
Convergence of Bayesian Bilevel Optimization
Shi Fu, Fengxiang He, Xinmei Tian et al.
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Nan Chen, Zemin Liu, Bryan Hooi et al.
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
Guodong Wang, Yunhong Wang, Xiuguo Bao et al.
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
Lizhang Chen, Bo Liu, Kaizhao Liang et al.
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
Hao Xiong, Yehui Tang, Yunlin He et al.
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
Yehui Tang, Hao Xiong, Nianzu Yang et al.
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models
Jonathan Brokman, Omer Hofman, Roman Vainshtein et al.
How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology
Andrei Atanov, Rishubh Singh, Jiawei Fu et al.
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
Na Li, Yuchen Jiao, Hangguan Shan et al.
MLPHand: Real Time Multi-View 3D Hand Reconstruction via MLP Modeling
Jian Yang, Jiakun Li, Guoming Li et al.
Fast Imitation via Behavior Foundation Models
Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati et al.
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
Renjie Pi, Lewei Yao, Jianhua Han et al.
Generalized Policy Iteration using Tensor Approximation for Hybrid Control
Suhan Shetty, Teng Xue, Sylvain Calinon
Diffusion Models for Multi-Task Generative Modeling
Changyou Chen, Han Ding, Bunyamin Sisman et al.
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown et al.
Latent 3D Graph Diffusion
Yuning You, Ruida Zhou, Jiwoong Park et al.
Scalable Monotonic Neural Networks
Hyunho Kim, Jong-Seok Lee
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
Lorenzo Vaquero, Yihong XU, Xavier Alameda-Pineda et al.
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
Kun Wang, Hao Wu, Yifan Duan et al.
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
Yuxin Dong, Tieliang Gong, Hong Chen et al.
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation
Mohamed El Amine Boudjoghra, Jean Lahoud, Salman Khan et al.
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Jingyun Xiao, Ran Liu, Eva Dyer
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection
Xixi Liu, Christopher Zach
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
Xin Zhang, Dong Zhang, Shimin Li et al.
Prompt Learning with Quaternion Networks
Boya Shi, Zhengqin Xu, Shuai Jia et al.
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Lingfeng Liu, Dong Ni, Hangjie Yuan
Accelerated Sampling with Stacked Restricted Boltzmann Machines
Jorge Fernandez-de-Cossio-Diaz, Clément Roussel, Simona Cocco et al.
Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)
Marko Savic, Guoying Zhao
Meta-Learning Priors Using Unrolled Proximal Networks
Yilang Zhang, Georgios B Giannakis
Learning Neural Deformation Representation for 4D Dynamic Shape Generation
Gyojin Han, Jiwan Hur, Jaehyun Choi et al.
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
Zhihe Yang, Yunjian Xu
Chains of Diffusion Models
Yanheng Wei, Lianghua Huang, Zhi-Fan Wu et al.
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
Rohan Sharma, Kaiyi Ji, Zhiqiang Xu et al.
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik Bekkers, Sharvaree Vadgama, Rob Hesselink et al.
Efficient Backpropagation with Variance Controlled Adaptive Sampling
Ziteng Wang, Jianfei Chen, Jun Zhu
A Dynamical View of the Question of Why
Mehdi Fatemi, Sindhu Chatralinganadoddi Mariyappa Gowda
Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift
Antonio Tejero-de-Pablos, Riku Togashi, Mayu Otani et al.
Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation
Jinghe Yang, Mingming Gong, Ye Pu
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration
JUN XIAO, Changjian Shui, Zhi-Song Liu et al.
GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time
Hao Li, Yuanyuan Gao, Dingwen Zhang et al.
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
Antoine Bambade, Fabian Schramm, Adrien Taylor et al.
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
Junyi Li, Feihu Huang, Heng Huang
HoloADMM: High-Quality Holographic Complex Field Recovery
Mazen Mel, Paul Springer, Pietro Zanuttigh et al.
Improving the Convergence of Dynamic NeRFs via Optimal Transport
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.
FedHide: Federated Learning by Hiding in the Neighbors
Hyunsin Park, Sungrack Yun
DreamReward: Aligning Human Preference in Text-to-3D Generation
junliang ye, Fangfu Liu, Qixiu Li et al.
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
Jicong Fan, Rui Chen, Zhao Zhang et al.
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
Congpei Qiu, Tong Zhang, Yanhao Wu et al.
Early Anticipation of Driving Maneuvers
Abdul Wasi Lone, Shankar Gangisetty, Shyam Nandan et al.
Learning Nash Equilibria in Rank-1 Games
Nikolas Patris, Ioannis Panageas
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
Guikun Xu, Yongquan Jiang, PengChuan Lei et al.
Easing 3D Pattern Reasoning with Side-view Features for Semantic Scene Completion
Linxi Huan, Mingyue Dong, Linwei Yue et al.
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi et al.
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
Yufei Kuang, Jie Wang, Haoyang Liu et al.
GraphPulse: Topological representations for temporal graph property prediction
Kiarash Shamsi, Farimah Poursafaei, Shenyang(Andy) Huang et al.
Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Ilmin Kang, HyounYoung Bae, Kangil Kim
Dissecting learning and forgetting in language model finetuning
Xiao Zhang, Ji Wu
Tangent Transformers for Composition,Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
Juntu Zhao, Junyu Deng, Yixin Ye et al.
Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization
yunzuo zhang, Yameng Liu
Generalizing to Unseen Domains via Text-guided Augmentation
Daiqing Qi, Handong Zhao, Aidong Zhang et al.
Information Bottleneck Based Data Correction in Continual Learning
Shuai Chen, mingyi zhang, Junge Zhang et al.
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme
Jintae Kim, Seungwon Yang, Seong-Gyun Jeong et al.
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
Diyang Li, Charles Ling, Zhiqiang Xu et al.