Most Cited 2024 "ai for math" Papers

Libra: Building Decoupled Vision System on Large Language Models

Yifan Xu, Xiaoshan Yang, Yaguang Song et al.

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks

Fuzhi Wu, Jiasong Wu, Youyong Kong et al.

A Sequentially Fair Mechanism for Multiple Sensitive Attributes

Francois HU, Philipp Ratz, Arthur Charpentier

PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos

Qi Zhao, M. Salman Asif, Zhan Ma

Step Differences in Instructional Video

Tushar Nagarajan, Lorenzo Torresani

Towards General Neural Surrogate Solvers with Specialized Neural Accelerators

Chenkai Mao, Robert Lupoiu, Tianxiang Dai et al.

Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network

Yong Shu, Liquan Shen, Xiangyu Hu et al.

Non-clairvoyant Scheduling with Partial Predictions

Ziyad Benomar, Vianney Perchet

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng et al.

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields

Cheng-You Lu, Peisen Zhou, Angela Xing et al.

Volumetric Rendering with Baked Quadrature Fields

Gopal Sharma, Daniel Rebain, Kwang Moo Yi et al.

Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization

Kaan Gokcesu, Hakan Gökcesu

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study

Qiyu Kang, Kai Zhao, Yang Song et al.

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training

WU Sitong, Haoru Tan, Zhuotao Tian et al.

Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita et al.

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream

Lin Zhu, Kangmin Jia, Yifan Zhao et al.

Leveraging temporal contextualization for video action recognition

Minji Kim, Dongyoon Han, Taekyung Kim et al.

Curved Diffusion: A Generative Model With Optical Geometry Control

Andrey Voynov, Amir Hertz, Moab Arar et al.

Variational Inference for SDEs Driven by Fractional Noise

Rembert Daems, Manfred Opper, Guillaume Crevecoeur et al.

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation

cheng Shi, Yulin zhang, Bin Yang et al.

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee et al.

Perceptual Assessment and Optimization of HDR Image Rendering

Peibei Cao, Rafal Mantiuk, Kede Ma

Algorithms for Caching and MTS with reduced number of predictions

Karim Ahmed Abdel Sadek, Marek Elias

Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo

Hongjie Li, Yao Guo, Xianwei Zheng et al.

Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

Li Zheng, Hao Fei, Fei Li et al.

Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification

Minghui Liao, Guojia Wan, Bo Du

Contributing Dimension Structure of Deep Feature for Coreset Selection

Zhijing Wan, Zhixiang Wang, Yuran Wang et al.

Replay across Experiments: A Natural Extension of Off-Policy RL

Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen et al.

On the Role of Discrete Tokenization in Visual Representation Learning

Tianqi Du, Yifei Wang, Yisen Wang

FSC: Few-point Shape Completion

Xianzu Wu, Xianfeng Wu, Tianyu Luan et al.

Tandem Transformers for Inference Efficient LLMs

Aishwarya P S, Pranav Nair, Yashas Samaga et al.

Uncertainty-aware sign language video retrieval with probability distribution modeling

Xuan Wu, Hongxiang Li, yuanjiang luo et al.

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Aryaman Reddi, Maximilian Tölle, Jan Peters et al.

DoubleTake: Geometry Guided Depth Estimation

Mohamed Sayed, Filippo Aleotti, Jamie Watson et al.

Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:

Peijun Bao, Zihao Shao, Wenhan Yang et al.

Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning

Yang Jiao, Zequn Jie, Shaoxiang Chen et al.

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Shen Jianbing, Chunliang Li, Wencheng Han et al.

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Geng Xinyu, Jiaming Wang, Jiawei Gong et al.

Instruction Tuning-free Visual Token Complement for Multimodal LLMs

Dongsheng Wang, Jiequan Cui, Miaoge Li et al.

MobileInst: Video Instance Segmentation on the Mobile

Renhong Zhang, Tianheng Cheng, Shusheng Yang et al.

Grounding and Enhancing Grid-based Models for Neural Fields

Zelin Zhao, FENGLEI FAN, Wenlong Liao et al.

Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks

Khurram Javed, Haseeb Shah, Richard Sutton et al.

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning

Hongwei Zheng, Linyuan Zhou, Han Li et al.

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation

Yudan Wang, Yue Wang, Yi Zhou et al.

Massively Scalable Inverse Reinforcement Learning in Google Maps

Matt Barnes, Matthew Abueg, Oliver Lange et al.

UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning

Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.

Incremental Randomized Smoothing Certification

Shubham Dipak Ugare, Tarun Suresh, Debangshu Banerjee et al.

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning

Xiaoyu Wen, Chenjia Bai, Kang Xu et al.

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

Mapping the Multiverse of Latent Representations

Jeremy Wayland, Corinna Coupette, Bastian Rieck

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval

Zexuan Qiu, Jiahong Liu, Yankai Chen et al.

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression

Hancheng Ye, Chong Yu, Peng Ye et al.

Learning to Make Keypoints Sub-Pixel Accurate

Shinjeong Kim, Marc Pollefeys, Daniel Barath

Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

On the Faithfulness of Vision Transformer Explanations

Junyi Wu, Weitai Kang, Hao Tang et al.

Lie Group Decompositions for Equivariant Neural Networks

Mircea Mironenco, Patrick Forré

Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning

Peng Xiao, Yi Xie, Xuemiao Xu et al.

LDReg: Local Dimensionality Regularized Self-Supervised Learning

Hanxun Huang, Ricardo Campello, Sarah Erfani et al.

Recursive Visual Programming

Jiaxin Ge, Sanjay Subramanian, Baifeng Shi et al.

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

Lirong Wu, Yijun Tian, Haitao Lin et al.

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms

Hossein Zakerinia, Amin Behjati, Christoph Lampert

Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions

Jiacong Xu, Mingqian Liao, Ram Prabhakar Kathirvel et al.

Few-Shot Neural Radiance Fields under Unconstrained Illumination

SeokYeong Lee, JunYong Choi, Seungryong Kim et al.

SIRA: Scalable Inter-frame Relation and Association for Radar Perception

Ryoma Yataka, Pu Wang, Petros Boufounos et al.

MVDD: Multi-View Depth Diffusion Models

Zhen Wang, Qiangeng Xu, Feitong Tan et al.

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations

Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp et al.

RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks

Divya Saxena, Jiannong Cao, Jiahao Xu et al.

Slot Abstractors: Toward Scalable Abstract Visual Reasoning

Shanka Subhra Mondal, Jonathan Cohen, Taylor Webb

Neural structure learning with stochastic differential equations

Benjie Wang, Joel Jennings, Wenbo Gong

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

Whie Jung, Jaehoon Yoo, Sungjin Ahn et al.

Self-Composing Policies for Scalable Continual Reinforcement Learning

Mikel Malagón, Josu Ceberio, Jose A Lozano

Graph Neural Network Causal Explanation via Neural Causal Models

Arman Behnam, Binghui Wang

Weisfeiler Leman for Euclidean Equivariant Machine Learning

Snir Hordan, Tal Amir, Nadav Dym

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

YuJie Lu, Long Wan, Nayu Ding et al.

Improving Adversarial Transferability via Model Alignment

Avery Ma, Amir-massoud Farahmand, Yangchen Pan et al.

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates

Ka Chun SHUM, Jaeyeon Kim, Binh-Son Hua et al.

Single View Refractive Index Tomography with Neural Fields

Brandon Zhao, Aviad Levis, Liam Connor et al.

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Hao Liu, Xin Li, Mingming Gong et al.

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Renbo Tu, Colin White, Jean Kossaifi et al.

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos

Keqiang Sun, Dori Litvak, Yunzhi Zhang et al.

Towards Automated Movie Trailer Generation

Dawit Argaw Argaw, Mattia Soldan, Alejandro Pardo et al.

Large Language Models as Automated Aligners for benchmarking Vision-Language Models

Yuanfeng Ji, Chongjian GE, Weikai Kong et al.

Layer-Wise Relevance Propagation with Conservation Property for ResNet

Seitaro Otsuki, Tsumugi Iida, Félix Doublet et al.

Discovering Mixtures of Structural Causal Models from Time Series Data

Sumanth Varambally, Yian Ma, Rose Yu

Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning

Zhiyuan He, Yijun Yang, Pin-Yu Chen et al.

Cycle Consistency Driven Object Discovery

Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio

DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems

Kaibo He, Chenhui Zuo, Chengtian Ma et al.

Motion and Structure from Event-based Normal Flow

Zhongyang Ren, Bangyan Liao, Delei Kong et al.

Strike a Balance in Continual Panoptic Segmentation

Jinpeng Chen, Runmin Cong, Yuxuan Luo et al.

Topic Modeling as Multi-Objective Contrastive Optimization

Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.

Solving Poisson Equations using Neural Walk-on-Spheres

Hong Chul Nam, Julius Berner, Anima Anandkumar

Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis

Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang et al.

Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization

Takuhiro Kaneko

Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

Wei Qian, Chenxu Zhao, Yangyi Li et al.

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping

Ruoxi Zhu, Shusong Xu, Peiye Liu et al.

Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking

Jikai Zheng, Mingjiang Liang, Shaoli Huang et al.

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning

Weijie Wei, Fatemeh Karimi Nejadasl, Theo Gevers et al.

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation

Yingshan Chang, Yasi Zhang, Zhiyuan Fang et al.

SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving

Yiming Xie, Henglu Wei, Zhenyi Liu et al.

Towards Accurate and Robust Architectures via Neural Architecture Search

Yuwei Ou, Yuqi Feng, Yanan Sun

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

Hajin Shim, Changhun Kim, Eunho Yang

Differentiable Mapper for Topological Optimization of Data Representation

Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

OTMatch: Improving Semi-Supervised Learning with Optimal Transport

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI

Sean I. Young, Yaël Balbastre, Bruce Fischl et al.

Open-Set Recognition in the Age of Vision-Language Models

Dimity Miller, Niko Suenderhauf, Alex Kenna et al.

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies

Xiangyu Liu, Chenghao Deng, Yanchao Sun et al.

PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects

Guangcheng Chen, Yicheng He, Li He et al.

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models

Agneet Chatterjee, Yiran Luo, Tejas Gokhale et al.

Domain constraints improve risk prediction when outcome data is missing

Sidhika Balachandar, Nikhil Garg, Emma Pierson

ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting

Michael A Hobley, Victor Adrian Prisacariu

SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations

Xuan Zhang, Jacob Helwig, Yuchao Lin et al.

Fair Off-Policy Learning from Observational Data

Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

Shiyu Tian, Hongxin Wei, Yiqun Wang et al.

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang et al.

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

Junyi Zou, Matthew Levine, Dessi Zaharieva et al.

Stereographic Spherical Sliced Wasserstein Distances

Huy Tran, Yikun Bai, Abihith Kothapalli et al.

Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training

Arun Reddy, William Paul, Corban Rivera et al.

Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates

Zhenqiao Song, Yunlong Zhao, Wenxian Shi et al.

KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval

Xianwei Zhuang, Hongxiang Li, Xuxin Cheng et al.

Backpropagation-free Network for 3D Test-time Adaptation

YANSHUO WANG, Ali Cheraghian, Zeeshan Hayder et al.

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians

Tom Huix, Anna Korba, Alain Oliviero Durmus et al.

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs

Zitao Song, Chao Yang, Chaojie Wang et al.

Efficient Planning with Latent Diffusion

Wenhao Li

Generating Non-Stationary Textures using Self-Rectification

Yang Zhou, Rongjun Xiao, Dani Lischinski et al.

Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World

Huiyuan Fu, Fei Peng, Xianwei Li et al.

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation

Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli

Colour Passing Revisited: Lifted Model Construction with Commutative Factors

Malte Luttermann, Tanya Braun, Ralf Möller et al.

Temporal-Mapping Photography for Event Cameras

Yuhan Bao, Lei Sun, Yuqin Ma et al.

AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation

Lorenzo Mur Labadia, Ruben Martinez-Cantin, Jose J Guerrero et al.

Sample as you Infer: Predictive Coding with Langevin Dynamics

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Siamese Vision Transformers are Scalable Audio-visual Learners

Yan-Bo Lin, Gedas Bertasius

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

Andrew Jesson, Christopher Lu, Gunshi Gupta et al.

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments

Jonas Schweisthal, Dennis Frauen, M van der Schaar et al.

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long et al.

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling

Phong Nguyen, Xinlun Cheng, Shahab Azarfar et al.

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models

Minchan Kim, Minyeong Kim, Junik Bae et al.

Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation

Pengfei Wang, Yuxi Wang, Shuai Li et al.

Reducing sequential change detection to sequential estimation

Shubhanshu Shekhar, Aaditya Ramdas

Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge

Seong-Tae Kim, Hyungil Kim, Y. Ro

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data

Xuran Meng, Difan Zou, Yuan Cao

VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving

Yibo Liu, Zheyuan Yang, Guile Wu et al.

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi et al.

Accelerating Sinkhorn algorithm with sparse Newton iterations

Xun Tang, Michael Shavlovsky, Holakou Rahmanian et al.

Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model

Mikail Khona, Maya Okawa, Jan Hula et al.

HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation

Linglin Jing, Yiming Ding, Yunpeng Gao et al.

The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers

Seungwoo Son, Jegwang Ryu, Namhoon Lee et al.

Removing Biases from Molecular Representations via Information Maximization

Chenyu Wang, Sharut Gupta, Caroline Uhler et al.

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy

Georgios Kaissis, Stefan Kolek, Borja de Balle Pigem et al.

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference

Marvin Schmitt, Desi Ivanova, Daniel Habermann et al.

Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification

Dekun Lin, Zhe Cui, Rui Chen et al.

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion

Sanghyun Kim, Seohyeon Jung, Balhae Kim et al.

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang et al.

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems

Jiankun Zhao, Bowen Song, Liyue Shen

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack

Mingyu Yang, Daizong Liu, Keke Tang et al.

OctOcc: High-Resolution 3D Occupancy Prediction with Octree

Wenzhe Ouyang, Xiaolin Song, Bailan Feng et al.

Noisy Interpolation Learning with Shallow Univariate ReLU Networks

Nirmit Joshi, Gal Vardi, Nathan Srebro

Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization

Anthony Bardou, Patrick Thiran, Thomas Begin

Quantum Positional Encodings for Graph Neural Networks

Slimane Thabet, Mehdi Djellabi, Igor Sokolov et al.

AAMDM: Accelerated Auto-regressive Motion Diffusion Model

Tianyu Li, Calvin Zhuhan Qiao, Ren Guanqiao et al.

Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification

Yan Jiang, Xu Cheng, Hao Yu et al.

VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression

Won Jo, Geuntaek Lim, Gwangjin Lee et al.

Surprisingly Strong Performance Prediction with Neural Graph Features

Gabriela Kadlecová, Jovita Lukasik, Martin Pilát et al.

The Role of Learning Algorithms in Collective Action

Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling

Jianan Fan, Dongnan Liu, Hang Chang et al.

Estimating Barycenters of Distributions with Neural Optimal Transport

Alexander Kolesov, Petr Mokrov, Igor Udovichenko et al.

How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers

Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson et al.

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu et al.

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences

Zicheng Liu, Siyuan Li, Li Wang et al.

Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

Lingyu Zhu, Wenhan Yang, Baoliang Chen et al.

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB

Shengheng Liu, Xingkang Li, Zihuan Mao et al.

Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems

Ta Duy Nguyen, Alina Ene

Ungeneralizable Examples

Jingwen Ye, Xinchao Wang

AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion

Adeesh Kolluru, John Kitchin

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Training-free Composite Scene Generation for Layout-to-Image Synthesis

Jiaqi Liu, Tao Huang, Chang Xu

Mean Estimation in the Add-Remove Model of Differential Privacy

Alex Kulesza, Ananda Suresh, Yuyan Wang

CuTS: Customizable Tabular Synthetic Data Generation

Mark Vero, Mislav Balunovic, Martin Vechev

BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models

Ye-Bin Moon, Nam Hyeon-Woo, Wonseok Choi et al.

One-Shot Strategic Classification Under Unknown Costs

Elan Rosenfeld, Nir Rosenfeld

Towards Understanding Inductive Bias in Transformers: A View From Infinity

Itay Lavie, Guy Gur-Ari, Zohar Ringel

A Theory of Joint Light and Heat Transport for Lambertian Scenes

Mani Ramanagopal, Sriram Narayanan, Aswin C. Sankaranarayanan et al.

Efficient Pareto Manifold Learning with Low-Rank Structure

Weiyu CHEN, James Kwok

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

Soo Yong Lee, Sunwoo Kim, Fanchen Bu et al.

Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization

Frederic Koehler, Thuy-Duong Vuong

Interpretable Meta-Learning of Physical Systems

Matthieu Blanke, marc lelarge

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation

Ning Gao, Sanping Zhou, Le Wang et al.

Representation Deficiency in Masked Language Modeling

Yu Meng, Jitin Krishnan, Sinong Wang et al.

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

Wenzhe Li, Zihan Ding, Seth Karten et al.

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Chenyang Wang, Junjun Jiang, Kui Jiang et al.

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

Post-hoc bias scoring is optimal for fair classification

Wenlong Chen, Yegor Klochkov, Yang Liu

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness

Honghao Chen, Zhang Yurong, xiaokun Feng et al.

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions

Yunxiao Shi, Manish Singh, Hong Cai et al.

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition

Lilang Lin, Lehong Wu, Jiahang Zhang et al.