Most Cited 2024 "compiler optimization" Papers
12,324 papers found • Page 60 of 62
Conference
DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
Ji Li, Chao Wang
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
Zhihao Li, Yufei Wang, Alex Kot et al.
$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
Philipp Holl, Nils Thuerey
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
Baohong Li, Anpeng Wu, Ruoxuan Xiong et al.
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
Zichong Li, Qunzhi Xu, Zhenghao Xu et al.
Statistical Properties of Robust Satisficing
zhiyi li, Yunbei Xu, Ruohan Zhan
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
Yingying Li, Jing Yu, Lauren Conger et al.
Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
Fabing Li, Yuanhao Zhai, Shuangyu Cai et al.
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
Pengyi Li, Yan Zheng, Hongyao Tang et al.
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
Shaojie Li, Bowei Zhu, Yong Liu
Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian, Weihao Yu, Xinchao Wang
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
Fangshuo Liao, J. Lyle Kim, Cruz Barnum et al.
Graph Geometry-Preserving Autoencoders
Jungbin Lim, Jihwan Kim, Yonghyeon Lee et al.
3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms
Po Han Chen, Chia-Chi Tsai
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
Wu Lin, Felix Dangel, Runa Eschenhagen et al.
Gaze Target Detection Based on Head-Local-Global Coordination
Yaokun Yang, Feng Lu
HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
Bor Jiun Lin, Chun-Yi Lee
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
Haitao Lin, Lirong Wu, Yufei Huang et al.
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
Xixun Lin, Wenxiao Zhang, Fengzhao Shi et al.
Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
Zhuanghua Liu, Cheng Chen, Luo Luo et al.
ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
Hongyu Liu, Runmin Cong, Hua Li et al.
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
Yuanwei Liu, Junwei Han, Xiwen Yao et al.
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
Jiashun Liu, Jianye Hao, Yi Ma et al.
ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
Limin Liu, Shuai He, Anlong Ming et al.
On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
Ruipeng Liu, Borui He, Naveed Tahir et al.
Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy
Yi Liu, Qirui Hu, Linglong Kong
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
Zhihan Liu, Hao Hu, Shenao Zhang et al.
Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions
Yujing Liu, Zhixin Liu, Lei Guo
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection
Jan Skvrna, Lukas Neumann
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu, Zixin Wang, Xi'an Li et al.
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
Langqi Liu, Yibo Wang, Lijun Zhang
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
Yicheng Liu, Jie Wen, Chengliang Liu et al.
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
Biao Liu, Ning Xu, Xiangyu Fang et al.
Causality Based Front-door Defense Against Backdoor Attack on Language Models
Yiran Liu, Xiaoang Xu, Zhiyi Hou et al.
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling
Chengliang Liu, Gehui Xu, Jie Wen et al.
Building Socially-Equitable Public Models
Yejia Liu, Jianyi Yang, Pengfei Li et al.
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
Yunfei Long, Zilin Tian, Liguo Zhang et al.
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence
Hongyuan Wang, Lizhi Wang, Jiang Xu et al.
Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
Lin Lu, Chenxi Dai, Wangcheng Tao et al.
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
Junxin Lu, Shiliang Sun
High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding
Qi Zuo, Xiaodong Gu, Yuan Dong et al.
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
Pengfei Wang, Xiaofei Hui, Jing Wu et al.
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
Wenxi Lv, Qinliang Su, Hai Wan et al.
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
Junlong Lyu, Zhitang Chen, Shoubo Feng
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
Denys Pushkin, Raphaël Berthier, Emmanuel Abbe
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
Yuexiao Ma, Huixia Li, Xiawu Zheng et al.
High-dimensional Linear Bandits with Knapsacks
Wanteng Ma, Dong Xia, Jiashuo Jiang
A Provable Decision Rule for Out-of-Distribution Detection
Xinsong Ma, Xin Zou, Weiwei Liu
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
Kennard Yanting Chan, Fayao Liu, Guosheng Lin et al.
PreLAR: World Model Pre-training with Learnable Action Representation
Lixuan Zhang, Meina Kan, Shiguang Shan et al.
G2fR: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields
Shuxiang Xie, Shuyi Zhou, Ken Sakurada et al.
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
Shikhar Mohan, Deepak Saini, Anshul Mittal et al.
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Bjørn Leth Møller, Christian Igel, Kristoffer Wickstrøm et al.
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
Chandra Mouli Sekar, Danielle Robinson, Shima Alizadeh et al.
Factored-Reward Bandits with Intermediate Observations
Marco Mussi, Simone Drago, Marcello Restelli et al.
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Seth Nabarro, Mark van der Wilk, Andrew Davison
Density Ratio Estimation with Doubly Strong Robustness
Ryosuke Nagumo, Hironori Fujisawa
Cocktail Universal Adversarial Attack on Deep Neural Networks
Shaoxin Li, Xiaofeng Liao, Xin Che et al.
Novel Spectral Algorithms for the Partial Credit Model
Duc Nguyen, Anderson Zhang
Risk-Sensitive Reward-Free Reinforcement Learning with CVaR
Xinyi Ni, Guanlin Liu, Lifeng Lai
Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
Masaaki Nishino, Kengo Nakamura, Norihito Yasuda
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
Xinlei Niu, Christian Walder, Jing Zhang et al.
Free-Viewpoint Video of Outdoor Sports Using a Drone
Zhengdong Hong
Implicit Representations via Operator Learning
Sourav Pal, Harshavardhan Adepu, Clinton Wang et al.
Blind image deblurring with noise-robust kernel estimation
Chanseok Lee, Jeongsol Kim, Seungmin Lee et al.
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu et al.
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
Haihui Pan, zhifang Liao, Wenrui Xie et al.
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping
Nikhil Gosala, Kürsat Petek, B Ravi Kiran et al.
L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model
Yuchen Hong, Haofeng Zhong, Shuchen Weng et al.
State-Free Inference of State-Space Models: The *Transfer Function* Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro et al.
How Video Meetings Change Your Expression
Sumit Sarin, Utkarsh Mall, Purva Tendulkar et al.
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
Amit Peleg, Matthias Hein
Knowledge Distillation with Auxiliary Variable
Bo Peng, zhen fang, Guangquan Zhang et al.
A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
Ankit Pensia
Bayesian Regret Minimization in Offline Bandits
Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Detecting Influence Structures in Multi-Agent Reinforcement Learning
Fabian Raoul Pieroth, Katherine Fitch, Lenz Belzner
Learning Multiple Secrets in Mastermind
Milind Prabhu, David Woodruff
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
Yuanhao Pu, Xiaolong Chen, Xu Huang et al.
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
Bin Pu, Xingguo Lv, Jiewen Yang et al.
ByMI: Byzantine Machine Identification with False Discovery Rate Control
Chengde Qian, Mengyuan Wang, Haojie Ren et al.
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang et al.
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
Congyu Qiao, Ning Xu, Yihao Hu et al.
Feasible Reachable Policy Iteration
Shentao Qin, Yujie Yang, Yao Mu et al.
Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation
Guorui Quan, Zhiqiang Xu, Guiliang Liu
Multiply-Robust Causal Change Attribution
Víctor Quintas-Martínez, Mohammad Bahadori, Eduardo Santiago et al.
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel et al.
Position: The Reasonable Person Standard for AI
Sunayana Rane
Fair Federated Learning via the Proportional Veto Core
Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan et al.
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
Weijieying Ren, Xiaoting Li, Huiyuan Chen et al.
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
Zach Robertson, Sanmi Koyejo
Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson et al.
Position: Application-Driven Innovation in Machine Learning
David Rolnick, Alan Aspuru-Guzik, Sara Beery et al.
Modelling Microbial Communities with Graph Neural Networks
Albane Ruaud, Cansu Sancaktar, Marco Bagatella et al.
Position: Amazing Things Come From Having Many Good Models
Cynthia Rudin, Chudi Zhong, Lesia Semenova et al.
Bayesian Adaptation of Network Depth and Width for Continual Learning
Jeevan Thapa, Rui Li
Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models
Amrith Setlur, Saurabh Garg, Virginia Smith et al.
On Multi-Armed Bandit with Impatient Arms
Yuming Shao, Zhixuan Fang
Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
Lingfeng Shen, Aayush Mishra, Daniel Khashabi
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian et al.
Uni3DL: A Unified Model for 3D Vision-Language Understanding
Xiang Li, Jian Ding, Zhaoyang Chen et al.
Statistical Test for Attention Maps in Vision Transformers
Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka et al.
Deletion-Anticipative Data Selection with a Limited Budget
Rachael Hwee Ling Sim, Jue Fan, Xiao Tian et al.
Byzantine Resilient and Fast Federated Few-Shot Learning
Ankit Pratap Singh, Namrata Vaswani
Parallelized Spatiotemporal Slot Binding for Videos
Gautam Singh, Yue Wang, Jiawei Yang et al.
Probabilistic Modeling of Interpersonal Coordination Processes
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy et al.
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou et al.
Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams
Liwen Hu, gang ding, Mianzhi Liu et al.
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
Ziyang Song, Jinxi Li, Bo Yang
Position: A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher et al.
Rethinking Image Super Resolution from Training Data Perspectives
Go Ohtani, Ryu Tadokoro, Ryosuke Yamada et al.
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
Hannes Stärk, Bowen Jing, Regina Barzilay et al.
QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
Gabriel Stella, Dmitri Loguinov
Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
Yudong Gao, Honglong Chen, Peng Sun et al.
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti et al.
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.
Online Adaptive Anomaly Thresholding with Confidence Sequences
Sophia Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy
Learning Graph Representation via Graph Entropy Maximization
Ziheng Sun, Xudong Wang, Chris Ding et al.
Regression Learning with Limited Observations of Multivariate Outcomes and Features
Yifan Sun, Grace Yi
Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy
Fadlullah Raji, John Murray-Bruce
Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
Jakub Svoboda, Suguman Bansal, Krishnendu Chatterjee
Rethinking Optimization and Architecture for Tiny Language Models
Yehui Tang, Kai Han, Fangcheng Liu et al.
StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis
Zecheng Tang, Chenfei Wu, Zekai Zhang et al.
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
Yehui Tang, Nianzu Yang, Mabiao Long et al.
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
Qian Tang, Yikai Zhang, Boxiang Wang
FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information
Wen Jiang, BOSHU LEI, Kostas Daniilidis
Position: What makes an image realistic?
Lucas Theis
Ranking-based Client Imitation Selection for Efficient Federated Learning
Chunlin Tian, Zhan Shi, Xinpeng Qin et al.
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
Liangliang Shi, Jack Fan, Junchi Yan
Copula-Nested Spectral Kernel Network
Jinyue Tian, Hui Xue, Yanfang Xue et al.
FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
Alexandru Tifrea, Preethi Lahoti, Ben Packer et al.
Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI
Yegor Tkachenko
Coactive Learning for Large Language Models using Implicit User Feedback
Aaron D. Tucker, Kianté Brantley, Adam Cahall et al.
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
Hitesh Tulsiani, David Chan, Shalini Ghosh et al.
Reward-Free Kernel-Based Reinforcement Learning
Sattar Vakili, Farhang Nabiei, Da-shan Shiu et al.
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
Linan Yue, Qi Liu, Weibo Gao et al.
Position: Why Tabular Foundation Models Should Be a Research Priority
Boris van Breugel, M van der Schaar
Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
Mim van den Bos, Jacobus van der Linden, Emir Demirović
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
Marten van Dijk, Nhuong Nguyen, Toan N. Nguyen et al.
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
Daniil Vankov, Angelia Nedich, Lalitha Sankar
Convergence of Some Convex Message Passing Algorithms to a Fixed Point
Václav Voráček, Tomáš Werner
Adaptive Parametric Activation
Konstantinos P Alexandridis, Jiankang Deng, Anh Nguyen et al.
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
Guancheng Wan, Yijun Tian, Wenke Huang et al.
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan, Chang Yao, Mingli Song et al.
Adversarially Robust Hypothesis Transfer Learning
Yunjuan Wang, Raman Arora
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
Chao Wang, Xin Bing, Xin HE et al.
Adaptively Learning to Select-Rank in Online Platforms
Jingyuan Wang, Perry Dong, Ying Jin et al.
An Efficient Maximal Ancestral Graph Listing Algorithm
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
Ruigang Wang, Krishnamurthy Dvijotham, Ian Manchester
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
Raymond L Wang, Jaedong Hwang, Akhilan Boopathy et al.
In-context Learning on Function Classes Unveiled for Transformers
Zhijie Wang, Bo Jiang, Shuai Li
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T et al.
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
Yaoming Wang, Jin Li, Wenrui Dai et al.
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
Da Wang, Lin Li, Wei Wei et al.
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang, Ping Li, Yingzhen Yang
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
Yasen Wang, Junlin Li, Zuogong Yue et al.
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He et al.
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
Xiyu Wang, Baijiong Lin, Daochang Liu et al.
A Dual-module Framework for Counterfactual Estimation over Time
Xin Wang, Shengfei Lyu, Lishan Yang et al.
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
Zhiheng Fu, Longguang Wang, Lian Xu et al.
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
Yafei Wang, Bo Pan, Mei Li et al.
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
chentong wang, Yannan Qu, Zhangzhi Peng et al.
Generalization Analysis of Stochastic Weight Averaging with General Sampling
Wang Peng, Li Shen, Zerui Tao et al.
CW Complex Hypothesis for Image Data
Yi Wang, Zhiren Wang
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
Zhihai Wang, Jie Wang, Dongsheng Zuo et al.
Think before Placement: Common Sense Enhanced Transformer for Object Placement
Yaxuan Qin, Jiayu Xu, Ruiping Wang et al.
Defense against Model Extraction Attack by Bayesian Active Watermarking
Zhenyi Wang, Yihan Wu, Heng Huang
Learning with Adaptive Resource Allocation
Jing Wang, Miao Yu, Peng Zhao et al.
Exploring Intrinsic Dimension for Vision-Language Model Pruning
Hanzhang Wang, Jiawen Zhang, Qingyuan Ma
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
Ziqi Wang, Wei Wang, Chao Huang et al.
Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
Siwei Wei, Xudong Zhang, Zhiyang Zhou et al.
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
Jie Wen, Shijie Deng, Waikeung Wong et al.
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
Yue Wu, Xidao hu, Yongzhe Yuan et al.
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
Fang Wu, Stan Z Li
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
Anpeng Wu, Haoxuan Li, Kun Kuang et al.
Profile Reconstruction from Private Sketches
Hao WU, Rasmus Pagh
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Florian Dorner, Moritz Hardt
A Theory of Fault-Tolerant Learning
Changlong Wu, Yifan Wang, Ananth Grama
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
Yichen WU, Hong Wang, Peilin Zhao et al.
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
Zhongze Wu, Hongyan Xu, Yitian Long et al.
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
Xia, Jonathan Wilson, Benjamin Goldstein et al.
Delving into the Convergence of Generalized Smooth Minimax Optimization
Wenhan Xian, Ziyi Chen, Heng Huang
Category-Aware Active Domain Adaptation
Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
Teng Xiao, Huaisheng Zhu, Zhiwei Zhang et al.
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
Jie Xiao, Kai Zhu, Han Zhang et al.
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
Xiaofan Bai, Chaoxiang He, Xiaojing Ma et al.
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error
Yueqi Xie, Minghong Fang, Neil Gong
Implicit Bias of AdamW: $\ell_\infty$-Norm Constrained Optimization
Shuo Xie, Zhiyuan Li
Semantic-Aware Human Object Interaction Image Generation
zhu xu, Qingchao Chen, Yuxin Peng et al.
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
Ning Xu, Yihao Hu, Congyu Qiao et al.
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
Yixing Xu, Chao Li, Dong Li et al.
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
TengYe Xu, Zihao Li, Qinyuan Ren
Robust Inverse Constrained Reinforcement Learning under Model Misspecification
Sheng Xu, Guiliang Liu
Soft Prompt Recovers Compressed LLMs, Transferably
Zhaozhuo Xu, Zirui Liu, Beidi Chen et al.
Adaptive Group Personalization for Federated Mutual Transfer Learning
Haoqing Xu, Dian Shen, Meng Wang et al.