Most Cited 2024 "visual instrumental variables" Papers

Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers

Tingting Chen, Beibei Lin, Yeying Jin et al.

Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation

Minh Hoang, Carl Kingsford

MixSATGEN: Learning Graph Mixing for SAT Instance Generation

Xinyan Chen, Yang Li, Runzhong Wang et al.

Gradual Domain Adaptation via Gradient Flow

Zhan ZHUANG, Yu Zhang, Ying Wei

Robustness Preserving Fine-tuning using Neuron Importance

Guangrui Li, Rahul Duggal, Aaditya Singh et al.

CLAP: Collaborative Adaptation for Patchwork Learning

Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan et al.

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

Tahmina Khanam, Mohammed Bennamoun, Guan Wang et al.

Invariance-based Learning of Latent Dynamics

Kai Lagemann, Christian Lagemann, Sach Mukherjee

Addressing Signal Delay in Deep Reinforcement Learning

Wei Wang, Dongqi Han, Xufang Luo et al.

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate

Meirui Jiang, Anjie Le, Xiaoxiao Li et al.

Robust Classification via Regression for Learning with Noisy Labels

Erik Englesson, Hossein Azizpour

GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries

Xiaoqi Wang, Han Wei Shen

Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization

Hamidreza Almasi, Harsh Mishra, Balajee Vamanan et al.

Incentive-Aware Federated Learning with Training-Time Model Rewards

Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar et al.

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data

Sneha Paul, Zachary Patterson, Nizar Bouguila

HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation

Noranart Vesdapunt, Kah Kuen Fu, Yue Wu et al.

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses

Chuanqing Wang, Di Wu, Chaoming Fang et al.

Enhancing Human-AI Collaboration Through Logic-Guided Reasoning

Chengzhi Cao, Yinghao Fu, Sheng Xu et al.

ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor

Tong Zhou, Shaolei Ren, Xiaolin Xu

Delving into Adversarial Robustness on Document Tampering Localization

Huiru Shao, Zhuang Qian, Kaizhu Huang et al.

When can transformers reason with abstract symbols?

Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe et al.

Mayfly: a Neural Data Structure for Graph Stream Summarization

yuan feng, Yukun Cao, Hairu Wang et al.

Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice

Xiayu Wang, Ke Ma, Ruiyun Zhong et al.

On Adversarial Training without Perturbing all Examples

Max Losch, Mohamed Omran, David Stutz et al.

WBP: Training-time Backdoor Attacks through Hardware-based Weight Bit Poisoning

Kunbei Cai, Zhenkai Zhang, Qian Lou et al.

COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark

Atsushi Hashimoto, Koki Maeda, Tosho Hirasawa et al.

Learning to Distinguish Samples for Generalized Category Discovery

Fengxiang Yang, Pu Nan, Wenjing Li et al.

Loc3Diff: Local Diffusion for 3D Human Head Synthesis and Editing

Yushi Lan, Feitong Tan, Qiangeng Xu et al.

TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance

Guoxing Zhang, Yiming Liu, xiaoyu yang et al.

All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation

Seongho Kim, Byung Cheol Song

Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods

Yuto Nishimura, Taiji Suzuki

Spatially-Aware Transformers for Embodied Agents

Junmo Cho, Jaesik Yoon, Sungjin Ahn

TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks

Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi et al.

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics

Christian Gumbsch, Noor Sajid, Georg Martius et al.

Neural Ordinary Differential Equations for Modeling Epidemic Spreading

Michalis Vazirgiannis, Chrysoula Kosma, George Panagopoulos et al.

Tree Cross Attention

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.

Neur2RO: Neural Two-Stage Robust Optimization

Justin Dumouchelle, Esther Julien, Jannis Kurtz et al.

Improving Non-Transferable Representation Learning by Harnessing Content and Style

Ziming Hong, Zhenyi Wang, Li Shen et al.

AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification

Hang Yu, Cong Liao, Ruolan Liu et al.

FedHARM: Harmonizing Model Architectural Diversity in Federated Learning

Anestis Kastellos, Athanasios Psaltis, Charalampos Z Patrikakis et al.

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models

Yan Liu, Yu Liu, Xiaokang Chen et al.

Hybrid Sharing for Multi-Label Image Classification

Zihao Yin, Chen Gan, Kelei He et al.

Cut out the Middleman: Revisiting Pose-based Gait Recognition

YANG FU, Saihui Hou, Shibei Meng et al.

Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities

Benjamin Lyo, Cristina Savin

A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error

Erdun Gao, Howard Bondell, Wei Huang et al.

A Foundation Model for Error Correction Codes

Yoni Choukroun, Lior Wolf

Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements

Niels Chr. Overgaard, Anders Holst

High Fidelity Neural Audio Compression

Yossi Adi, Gabriel Synnaeve, Jade Copet et al.

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models

Ziyi Lin, Dongyang Liu, Renrui Zhang et al.

M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation

Yingshuang Zou, Yikang Ding, Xi Qiu et al.

FMBoost: Boosting Latent Diffusion with Flow Matching

Johannes Schusterbauer-Fischer, Ming Gui, Pingchuan Ma et al.

CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation

Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa et al.

Two-Stage Video Shadow Detection via Temporal-Spatial Adaption

Xin Duan, Yu Cao, Lei Zhu et al.

Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography

Dorian Chan, Matthew O'Toole, Sizhuo Ma et al.

Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning

JinYi Yoon, HyungJune Lee

PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation

Zhuqing Liu, Xin Zhang, Jia Liu et al.

First-order ANIL provably learns representations despite overparametrisation

Oğuz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion

UAV First-Person Viewers Are Radiance Field Learners

Liqi Yan, Qifan Wang, Junhan Zhao et al.

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

Scott Workman, Armin Hadzic

Modelling complex vector drawings with stroke-clouds

Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya et al.

Task Planning for Visual Room Rearrangement under Partial Observability

Karan Mirakhor, Sourav Ghosh, DIPANJAN DAS et al.

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach

Changwen Zhang, wenli ouyang, Hao Yuan et al.

Learning Multi-Faceted Prototypical User Interests

Nhu-Thuat Tran, Hady W. Lauw

Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation

Zhihang Zhong, Gurunandan Krishnan, Xiao Sun et al.

Learning dynamic representations of the functional connectome in neurobiological networks

Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley et al.

Learning interpretable control inputs and dynamics underlying animal locomotion

Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin et al.

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

Jake Grigsby, Jim Fan, Yuke Zhu

NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors

Shi-Sheng Huang, Guo Chen, Li-heng Chen et al.

Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference

Khalid OUBLAL, Said Ladjal, David Benhaiem et al.

A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks

Haruo Hosoya

Diving Segmentation Model into Pixels

Chen Gan, Zihao Yin, Kelei He et al.

Robust Similarity Learning with Difference Alignment Regularization

Shuo Chen, Gang Niu, Chen Gong et al.

Distributed Active Client Selection With Noisy Clients Using Model Association Scores

Kwang In Kim

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models

Yingtao Zhang, Haoli Bai, Haokun Lin et al.

Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models

Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon et al.

LabelDP-Pro: Learning with Label Differential Privacy via Projections

Badih Ghazi, Yangsibo Huang, Pritish Kamath et al.

Learning to Jointly Understand Visual and Tactile Signals

Yichen Li, Yilun Du, Chao Liu et al.

Training-free Multi-objective Diffusion Model for 3D Molecule Generation

XU HAN, Caihua Shan, Yifei Shen et al.

Efficient Score Matching with Deep Equilibrium Layers

Yuhao Huang, Qingsong Wang, Akwum Onwunta et al.

Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

Wen Yuan Zhang, Kanle Shi, Yushen Liu et al.

Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?

Gourav Datta, Zeyu Liu, Peter Beerel

Deep Neural Networks Tend To Extrapolate Predictably

Katie Kang, Amrith Setlur, Claire Tomlin et al.

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks

Shengjie Zhou, Lue Tao, Yuzhou Cao et al.

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation

Haozhao Wang, Haoran Xu, Yichen Li et al.

Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images

Junhao Zhang, Mutian Xu, Jay Zhangjie Wu et al.

GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks

Peter Müller, Lukas Faber, Karolis Martinkus et al.

Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism

Tingting Jiang, Qi Xu, Xuming Ran et al.

ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories

Chen-yi Lu, Shubham Agarwal, Mehrab Tanjim et al.

Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning

Sheng Xu, Guiliang Liu

NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization

Gen Li, Lu Yin, Jie Ji et al.

Whittle Index with Multiple Actions and State Constraint for Inventory Management

Chuheng Zhang, Xiangsen Wang, Wei Jiang et al.

EINet: Point Cloud Completion via Extrapolation and Interpolation

Pingping Cai, Canyu Zhang, LINGJIA SHI et al.

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network

Tianze Luo, Zhanfeng Mo, Sinno Pan

Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning

Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou

Robustness Tokens: Towards Adversarial Robustness of Transformers

Brian Pulfer, Yury Belousov, Slava Voloshynovskiy

Event-based Head Pose Estimation: Benchmark and Method

jiahui yuan, Hebei Li, Yansong Peng et al.

AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network

Yuxi Li, Fuyuan Cheng, Wangbo Yu et al.

Locality-Aware Graph Rewiring in GNNs

Federico Barbero, Ameya Velingker, Amin Saberi et al.

OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS

Lijia Yu, XIAOSHAN GAO, Lijun Zhang

DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$

Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom et al.

Boosting Vanilla Lightweight Vision Transformers via Re-parameterization

Zhentao Tan, Xiaodan Li, Yue Wu et al.

Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation

Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon et al.

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model

Tingchen Fu, lemao liu, Deng Cai et al.

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View

YUJIE MO, Feiping Nie, Ping Hu et al.

BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics

Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu et al.

Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach

Yunseo Yang, Jihun Kim, Kuk-Jin Yoon

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following

Renze Lou, Kai Zhang, Jian Xie et al.

Object-Aware NIR-to-Visible Translation

Yunyi Gao, Lin Gu, Qiankun Liu et al.

High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs

Ruikang Xu, Mingde Yao, Yue Li et al.

StereoGlue: Joint Feature Matching and Robust Estimation

Daniel Barath, Dmytro Mishkin, Luca Cavalli et al.

Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features

Annie Chen, Yoonho Lee, Amrith Setlur et al.

AutoLoRa: An Automated Robust Fine-Tuning Framework

Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli

Dropout Enhanced Bilevel Training

Peiran Yu, Junyi Li, Heng Huang

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference

Yifan Feng, Yihe Luo, Shihui Ying et al.

Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression

Yufeng Zhang, Hang Yu, Jianguo Li et al.

G$^2$N$^2$ : Weisfeiler and Lehman go grammatical

Jason Piquenot, Aldo Moscatelli, Maxime Berar et al.

Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis

Shicheng Liu, Minghui Zhu

Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception

Dingkang Yang, Ke Li, Dongling Xiao et al.

Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks

David Robin, Kevin Scaman, marc lelarge

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models

Siao Tang, Xin Wang, Hong Chen et al.

The Human-AI Substitution game: active learning from a strategic labeler

Tom Yan, Chicheng Zhang

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.

$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning

Adyasha Maharana, Prateek Yadav, Mohit Bansal

On Stationary Point Convergence of PPO-Clip

Ruinan Jin, Shuai Li, Baoxiang Wang

A Discretization Framework for Robust Contextual Stochastic Optimization

Rares Cristian, Georgia Perakis

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

Yiming Chen, Xiangyu Yang, Nikos Deligiannis

Unveiling Options with Neural Network Decomposition

Mahdi Alikhasi, Levi Lelis

Bayesian Self-Training for Semi-Supervised 3D Segmentation

Ozan Unal, Christos Sakaridis, Luc Van Gool

RingAttention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

Emergent Communication with Conversational Repair

Mitja Nikolaus

DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes

Jing-Wen Yang, Jia-Mu Sun, Yong-Liang Yang et al.

Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction

Dian Jia, Xiaoqian Ruan, Kun Xia et al.

Batch normalization is sufficient for universal function approximation in CNNs

Rebekka Burkholz

SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models

S. Fatemeh Seyyedsalehi, Mahdieh Baghshah, Hamid Rabiee

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer

Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning

Chengxing Jia, Chen-Xiao Gao, Hao Yin et al.

ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis

DongHao Luo, Xue Wang

Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation

Bowei Xing, Xianghua Ying, Ruibin Wang et al.

On the Role of General Function Approximation in Offline Reinforcement Learning

Chenjie Mao, Qiaosheng Zhang, Zhen Wang et al.

The Generative AI Paradox: “What It Can Create, It May Not Understand”

Peter West, Ximing Lu, Nouha Dziri et al.

Learning Grounded Action Abstractions from Language

Lio Wong, Jiayuan Mao, Pratyusha Sharma et al.

iGraphMix: Input Graph Mixup Method for Node Classification

Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon et al.

The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility

James Gardner, Evgenii Kashin, Bernhard Egger et al.

HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images

Jingmeng Li, Lukang Fu, Surun Yang et al.

On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs

Jen-tse Huang, Wenxuan Wang, Eric John Li et al.

INViTE: INterpret and Control Vision-Language Models with Text Explanations

Haozhe Chen, Junfeng Yang, Carl Vondrick et al.

Effective pruning of web-scale datasets based on complexity of concept clusters

Amro Kamal, Evgenia Rusak, Kushal Tirumala et al.

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances

Mikhail Khodak, Edmond Chow, Nina Balcan et al.

CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance

Zhipeng Hu, Yongqiang Zhang, Chen Liu et al.

Label-free Neural Semantic Image Synthesis

Jiayi Wang, Kevin Alexander Laube, Yumeng Li et al.

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

Jing Xiong, Zixuan Li, Chuanyang Zheng et al.

Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization

Hongjing Niu, Hanting Li, Bin Li et al.

SignGen: End-to-End Sign Language Video Generation with Latent Diffusion

Fan Qi, Yu Duan, Changsheng Xu et al.

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment

Kevin Yang, Dan Klein, Asli Celikyilmaz et al.

Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Hongbin Huang, Minghua Chen, Xiao Qiao

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari et al.

Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data

Ce Ju, Reinmar Kobler, Liyao Tang et al.

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering

Ilya Shenbin, Sergey Nikolenko

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Position: Towards Unified Alignment Between Agents, Humans, and Environment

Zonghan Yang, an liu, Zijun Liu et al.

Consistent Submodular Maximization

PAUL DUETTING, Federico Fusco, Silvio Lattanzi et al.

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering

Haoxuan Li, Chunyuan Zheng, Shuyi Wang et al.

Model-based Reinforcement Learning for Confounded POMDPs

Mao Hong, Zhengling Qi, Yanxun Xu

Position: A Call for Embodied AI

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl

WARM: On the Benefits of Weight Averaged Reward Models

Alexandre Rame, Nino Vieillard, Léonard Hussenot et al.

Kernel-Based Evaluation of Conditional Biological Sequence Models

Pierre Glaser, Steffan Paul, Alissa M. Hummer et al.

Learning Associative Memories with Gradient Descent

Vivien Cabannnes, Berfin Simsek, Alberto Bietti

Calibration Bottleneck: Over-compressed Representations are Less Calibratable

Deng-Bao Wang, Min-Ling Zhang

Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification

Jintong Gao, He Zhao, Dandan Guo et al.

How Learning by Reconstruction Produces Uninformative Features For Perception

Randall Balestriero, Yann LeCun

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners

Chengjie Wu, Hao Hu, yiqin yang et al.

Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach

Darya Biparva, Donatello Materassi

Attention Decomposition for Cross-Domain Semantic Segmentation

Liqiang He, Sinisa Todorovic

Ensemble Pruning for Out-of-distribution Generalization

Fengchun Qiao, Xi Peng

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation

Kartik Sharma, Srijan Kumar, Rakshit Trivedi

On the Asymptotic Distribution of the Minimum Empirical Risk

Jacob Westerhout, TrungTin Nguyen, Xin Guo et al.

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman et al.

Measures of diversity and space-filling designs for categorical data

AstraZeneca Pharmaceutica, Emilio Domínguez-Sánchez, Merwan Barlier et al.

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification

Ziwei Jiang, Murat Kocaoglu

Benchmarking Deletion Metrics with the Principled Explanations

Yipei Wang, Xiaoqian Wang

Online Matrix Completion: A Collaborative Approach with Hott Items

Dheeraj Baby, Soumyabrata Pal

FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds

Keke Tang, Lujie Huang, Weilong Peng et al.

Benign Overfitting in Adversarial Training of Neural Networks

Yunjuan Wang, Kaibo Zhang, Raman Arora

MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation

Jiaxi Jiang, Paul Streli, Xuejing Luo et al.

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment

Haokun Gui, Xiucheng Li, Xinyang Chen

Evaluating Instrument Validity using the Principle of Independent Mechanisms

Patrick F. Burauel

Diffusion-Guided Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong et al.

Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration

Youngjin Oh, Keuntek Lee, Jooyoung Lee et al.

DFD: Distilling the Feature Disparity Differently for Detectors

Kang Liu, Yingyi Zhang, Jingyun Zhang et al.

On Positivity Condition for Causal Inference

Inwoo Hwang, Yesong Choe, Yeahoon Kwon et al.

The Expressive Power of Path-Based Graph Neural Networks

Caterina Graziani, Tamara Drucks, Fabian Jogl et al.

Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory

Kai Xu, Hong Ge

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble

Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang et al.

Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization

Aleksandra I. Nowak, Łukasz Gniecki, Filip Szatkowski et al.

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants

Isabel Chien, Wessel Bruinsma, Javier Gonzalez et al.

Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling

Wonwoong Cho, Hareesh Ravi, Midhun Harikumar et al.

Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection

Lianjun Wu, Jiangxiao Han, Zengqiang Zheng et al.

Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms

Yichen Li, Chicheng Zhang

Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing

Xiaolong Zou, Xingxing Cao, Xiaojiao Yang et al.

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization

Mudit Gaur, Amrit Singh Bedi, Di Wang et al.