Most Cited ICML "image fusion" Papers
5,975 papers found • Page 27 of 30
Conference
Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
Tao Jin, Yue Wu, Quanquan Gu et al.
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
Kirsten Morehouse, Siddharth Swaroop, Weiwei Pan
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
Kiran Thekumparampil, Gaurush Hiranandani, Kousha Kalantari et al.
Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
Yuya Hikima, Hiroshi Sawada, Akinori Fujino
Fast Sampling-Based Sketches for Tensors
William Swartworth, David Woodruff
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap Konduru, Andros Tjandra, Bowen Shi et al.
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong, Wooju Lee, Hyun Myung
Robust Multi-Agent Reinforcement Learning with Stochastic Adversary
Ziyuan Zhou, Guanjun Liu, Mengchu Zhou et al.
Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
Shuang Zeng, Yunwen Lei
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
Qi Ju, Thomas Tellier, Meng Sun et al.
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
Zihan Zhou, Yang Zhou, Zijie Zhang et al.
Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability
Renpu Liu, Hao Wu, Jiawei Zhang et al.
Sparse-pivot: Dynamic correlation clustering for node insertions
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic
Deep Fuzzy Multi-view Learning for Reliable Classification
Siyuan Duan, Yuan Sun, Dezhong Peng et al.
Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
Mahendra Singh Thapa, Rui Li
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
Zhan Zhuang, Xiequn Wang, Wei Li et al.
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
Sandesh Adhikary, Anqi Li, Byron Boots
Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
Approximation to Smooth Functions by Low-Rank Swish Networks
Zimeng Li, Hongjun LI, Jingyuan Wang et al.
Probabilistic Generating Circuits - Demystified
Sanyam Agarwal, Markus Bläser
The Non-linear $F$-Design and Applications to Interactive Learning
Alekh Agarwal, Jian Qian, Alexander Rakhlin et al.
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
Victor Agostinelli III, Sanghyun Hong, Lizhong Chen
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
Ao Shen, Ming'zhi Yuan, Yingfan MA et al.
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
Dongmin Bang, Inyoung Sung, Yinhua Piao et al.
Learning Mixtures of Gaussian Processes through Random Projection
Emmanuel Akeweje, Mimi Zhang
RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control
Mingyuan Li, Jiahao Wang, Guangsheng Yu et al.
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
Jayadev Naram, Fredrik Hellström, Ziming Wang et al.
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
Jan Stanczuk, Georgios Batzolis, Teo Deveney et al.
Unified K-Means Clustering with Label-Guided Manifold Learning
Qianqian Wang, Mengping Jiang, Zhengming Ding et al.
Test-time Adapted Reinforcement Learning with Action Entropy Regularization
Shoukai Xu, ZihaoLian, Mingkui Tan et al.
Hyperbolic Optimizer as a Dynamical System
Nico Alvarado, Hans Lobel
Stationarity without mean reversion in improper Gaussian processes
Luca Ambrogioni
Robust Graph Matching when Nodes are Corrupt
Taha Ameen Ur Rahman, Bruce Hajek
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning
Konstantinos Ameranis, Adela DePavia, Lorenzo Orecchia et al.
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
Zecheng Hao, Qichao Ma, Kang Chen et al.
Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
Boqi Li, Youjun Wang, Weiwei Liu
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
Jonas Arruda, Yannik Schälte, Clemens Peiter et al.
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
Hengrui Zhang, Liancheng Fang, Qitian Wu et al.
Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
Yalan Qin, Guorui Feng, Xinpeng Zhang
Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
Amir Azarmehr, Soheil Behnezhad, Mohammad Roghani
PhySpec: Physically Consistent Spectral Reconstruction via Orthogonal Subspace Decomposition and Self-Supervised Meta-Auxiliary Learning
Xingxing Yang, Jie Chen, Zaifeng Yang
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
Mingyuan Bai, Wei Huang, Li Tenghui et al.
Memory Consolidation Enables Long-Context Video Understanding
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi et al.
Contradiction Retrieval via Contrastive Learning with Sparsity
Haike Xu, Zongyu Lin, Kai-Wei Chang et al.
Analyzing $D^\alpha$ seeding for $k$-means
Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan CAO et al.
Towards Lifelong Model Editing via Simulating Ideal Editor
Yaming Guo, Siyang Guo, Hengshu Zhu et al.
The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
Zeyu Yang, Wesley Armour
Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
Geyu Liang, Senne Michielssen, Salar Fattahi
BSO: Binary Spiking Online Optimization Algorithm
Yu Liang, Yu Yang, Wenjie Wei et al.
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
Zhe Zhao, Pengkun Wang, HaiBin Wen et al.
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
Xinyi Lu, Hao Zhang, Chenglin Li et al.
Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization
Deyuan Liu, Zecheng Wang, Bingning Wang et al.
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
XUCHEN, Yuxuan Yue, Zukang Xu et al.
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
Roie Reshef, Kfir Levy
By Tying Embeddings You Are Assuming the Distributional Hypothesis
Bertolotti Francesco, Walter Cazzola
A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data
Cailong Hua, Sivaraman Rajaganapathy, Rebecca Slick et al.
Graph Diffusion for Robust Multi-Agent Coordination
Xianghua Zeng, Hang Su, Zhengyi Wang et al.
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
Xize Liang, Lin Yang, Jie Wang et al.
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
Homanga Bharadhwaj
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
Yifan Wang, Hourun Li, Ling Yue et al.
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
Yuxuan Bian, Xuan Ju, Jiangtong Li et al.
Differentiable Structure Learning with Ancestral Constraints
Taiyu Ban, Changxin Rong, Xiangyu Wang et al.
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
Maynara de Souza, Cleber Zanchettin
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
Li Shen, Anke Tang, Yong Luo et al.
Data-free Distillation of Diffusion Models with Bootstrapping
Jiatao Gu, Chen Wang, Shuangfei Zhai et al.
Stability Evaluation through Distributional Perturbation Analysis
Jose Blanchet, Peng Cui, Jiajin Li et al.
Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
Fabio Feser, Marina Evangelou
Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond
Yong Wu, Yanwei Fu, Shouyan Wang et al.
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai, Christian Cianfarani, Vikash Sehwag et al.
Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
Eleonora Bonel, Luca Nannini, Davide Bassi et al.
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
Kirill Brilliantov, Fedor Pavutnitskiy, Dmitrii A. Pasechniuk et al.
Backdoor Attacks in Token Selection of Attention Mechanism
Yunjuan Wang, Raman Arora
Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density
Subhodh Kotekal
Langevin Policy for Safe Reinforcement Learning
Fenghao Lei, Long Yang, Shiting Wen et al.
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit
Implicit Subgraph Neural Network
Yongjian Zhong, Liao Zhu, Hieu Vu et al.
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
Daeho Um, Sunoh Kim, Jiwoong Park et al.
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
jiayue Liu, Zhongchao Yi, Zhengyang Zhou et al.
Human Cognition-Inspired Hierarchical Fuzzy Learning Machine
Junbiao Cui, Qin Yue, Jianqing Liang et al.
A Generalization Result for Convergence in Learning-to-Optimize
Michael Sucker, Peter Ochs
Successor Features for Efficient Multi-Subject Controlled Text Generation
Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung et al.
Limited Preference Aided Imitation Learning from Imperfect Demonstrations
Xingchen Cao, Fan-Ming Luo, Junyin Ye et al.
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
Samantha Chen, Pankaj Agarwal, Yusu Wang
e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren et al.
QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline
Tianyi Bao, Ruizhe Zhong, Xinyu Ye et al.
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
Siyuan Xu, Minghui Zhu
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves
Mykhailo Uss, Ruslan Yermolenko, Oleksii Shashko et al.
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
Xinsong Ma, Jie Wu, Weiwei Liu
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
Guiyang Chan, Pengcheng Zhang, Hai Dong et al.
Quadratic Upper Bound for Boosting Robustness
Euijin You, Hyang-Won Lee
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li et al.
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
Congcong Zhu, Xiaoyan Xu, Jiayue Han et al.
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie et al.
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
Fei Long, Xiaoou Li, jiaming Lv et al.
$\mathcal{V}ista\mathcal{DPO}$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
Haojian Huang, Haodong Chen, Shengqiong Wu et al.
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
Yujin Kim, Hyunsoo Kim, Hyunwoo Kim et al.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang, Fanchen Bu, Zixing Song et al.
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
Ziyi Chen, Heng Huang
CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention
Songlin Xu, Xinyu Zhang
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
Shelvia Wongso, Rohan Ghosh, Mehul Motani
Cover learning for large-scale topology representation
Luis Scoccola, Uzu Lim, Heather Harrington
Signed Laplacians for Constrained Graph Clustering
John Stewart Fabila-Carrasco, He Sun
Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
Siqi Zhang, Xing Huang, Feihu Huang
A Near Linear Query Lower Bound for Submodular Maximization
Binghui Peng, Aviad Rubinstein
On the Diversity of Adversarial Ensemble Learning
Jun-Qi Guo, Meng-Zhang Qian, Wei Gao et al.
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
Junyi Liao, Zihan Zhu, Ethan Fang et al.
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
Hongyuan Su, Yu Zheng, Yuan Yuan et al.
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen, Yongqiang Wang
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
Jake Tuero, Michael Buro, Levi Lelis
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
Suyu Liu, Zhiguang Cao, Shanshan Feng et al.
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
Baoying Chen, Jishen Zeng, Jianquan Yang et al.
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen, Aidong Zhang
Spherical-Nested Diffusion Model for Panoramic Image Outpainting
Xiancheng Sun, Senmao Ma, Shengxi Li et al.
Variational Learning of Fractional Posteriors
Kian Ming Chai, Edwin V. Bonilla
Towards a Formal Theory of Representational Compositionality
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio et al.
Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security
Yangyang Shen, Xiao Tan, Dian Shen et al.
Enhancing Implicit Shape Generators Using Topological Regularizations
Liyan Chen, Yan Zheng, Yang Li et al.
Stacking Deep Set Networks and Pooling by Quantiles
Zhuojun Chen, Xinghua Zhu, Dongzhe Su et al.
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
Kun Cheng, Xiao He, Lei Yu et al.
ExLM: Rethinking the Impact of $\texttt{[MASK]}$ Tokens in Masked Language Models
Kangjie Zheng, Junwei Yang, Siyue Liang et al.
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
Yuhua Zhou, Ruifeng Li, Changhai Zhou et al.
Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
Liang Huang, Benedict Lee, Daniel Ng et al.
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
Qin Guo, Ailing Zeng, Dongxu Yue et al.
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
Wang Chi Cheung, Lixing Lyu
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun et al.
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
Pranav Singh Chib, Achintya Nath, Paritosh Kabra et al.
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
Pranav Singh Chib, Pravendra Singh
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor Aamodt
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
MYUNG-SIK CHO, Jong Eui Park, Suyoung Lee et al.
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu et al.
Multiobjective distribution matching
Xiaoyuan Zhang, Peijie Li, Ying Ying YU et al.
False Coverage Proportion Control for Conformal Prediction
Alexandre Blain, Thirion Bertrand, Pierre Neuvial
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
Fengqiang Wan, Yang Yang
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao
LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
Elizabeth M Fons Etcheverry, Alejandro Sztrajman, Yousef El-Laham et al.
$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier, Tom Huix, Alain Oliviero Durmus
Learning Parametric Distributions from Samples and Preferences
Marc Jourdan, Gizem Yüce, Nicolas Flammarion
Weighted distance nearest neighbor condensing
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
Weilin Cai, Juyong Jiang, Le Qin et al.
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño et al.
Improving Flow Matching by Aligning Flow Divergence
Yuhao Huang, Taos Transue, Shih-Hsin Wang et al.
Pfeife: Automatic Pipeline Parallelism for PyTorch
Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
Jessica Dai
Multi-View Clustering by Inter-cluster Connectivity Guided Reward
Hao Dai, Yang Liu, Peng Su et al.
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai et al.
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda et al.
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
Shengju Yu, Yiu-ming Cheung, Siwei Wang et al.
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
Talal Widatalla, Richard Shuai, Brian Hie et al.
Algorithms and Hardness for Active Learning on Graphs
Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Laber
Constrained Online Convex Optimization with Polyak Feasibility Steps
Spencer Hutchinson, Mahnoosh Alizadeh
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
Shikang Liu, Chuyang Wei, Xiren Zhou et al.
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
VIKAS DEEP, Achal Bassamboo, Sandeep Juneja
Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
Francesco Demelas, Joseph Roux, Mathieu Lacroix et al.
Transfer Q-Learning with Composite MDP Structures
Jinhang Chai, Elynn Chen, Lin Yang
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu et al.
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang et al.
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
Hao Di, Haishan Ye, Xiangyu Chang et al.
Fast Co-Training under Weak Dependence via Stream-Based Active Learning
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren et al.
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
Charles Dickens, Changyu Gao, Connor Pryor et al.
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis
Weiyu Guo, Ziyue Qiao, Ying Sun et al.
A Online Statistical Framework for Out-of-Distribution Detection
Xinsong Ma, Xin Zou, Weiwei Liu
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
Elvis Dohmatob
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
Elvis Dohmatob, Meyer Scetbon
TLLC: Transfer Learning-based Label Completion for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
Meng-Hao Guo, Jiajun Xu, Yi Zhang et al.
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
Yuxin Dong, Tieliang Gong, Hong Chen et al.
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
Zitong Shi, Guancheng Wan, Wenke Huang et al.
Position: Building Guardrails for Large Language Models Requires Systematic Design
Yi DONG, Ronghui Mu, Gaojie Jin et al.
Heterogeneous Label Shift: Theory and Algorithm
Chao Xu, Xijia Tang, Chenping Hou
DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation
Changshuo Wang, Xiang Fang, Prayag Tiwari
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
Onur Celik, Zechu Li, Denis Blessing et al.
Principled Gradient-Based MCMC for Conditional Sampling of Text
Li Du, Afra Amini, Lucas Torroba Hennigen et al.
Position: Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du, Leslie Kaelbling
Near-Optimal Decision Trees in a SPLIT Second
Varun Babbar, Hayden McTavish, Cynthia Rudin et al.
One-dimensional Path Convolution
Xuanshu Luo, Martin Werner
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
Aleksandr Kolomeitsev, ANH-HUY PHAN
Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
Xuetong Li, Danyang Huang, Hansheng Wang
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
Jiawen Wang, Yinda Chen, Xiaoyu Liu et al.
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
Shengju Yu, Dong Zhibin, Siwei Wang et al.
Barrier Algorithms for Constrained Non-Convex Optimization
Pavel Dvurechenskii, Mathias Staudigl
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
Yaoxuan Feng, Wenchao Chen, yuxin li et al.
Scalable Pre-training of Large Autoregressive Image Models
Alaaeldin Ali, Michal Klein, Shuangfei Zhai et al.
Test-Time Graph Neural Dataset Search With Generative Projection
Xin Zheng, Wei Huang, Chuan Zhou et al.
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
Ruo-Jing Dong, Yu Yao, Bo Han et al.
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
Yuanchao Dai, Ximing Li, Changchun Li
Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
Shuai Yuan, Hongwei Li, Rui Zhang et al.
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, john leth, Zheng-Hua Tan et al.
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Lorenz Kummer, Samir Moustafa, Anatol Ehrlich et al.
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li et al.
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
Ziming Zhu, Yu Zhu, Jiahao Chen et al.