Most Cited 2024 "metric-scale reference frames" Papers

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

Peter West, Ximing Lu, Nouha Dziri et al.

On the Role of General Function Approximation in Offline Reinforcement Learning

Chenjie Mao, Qiaosheng Zhang, Zhen Wang et al.

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

DongHao Luo, Xue Wang

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning

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

Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms

Yichen Li, Chicheng Zhang

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

S. Fatemeh Seyyedsalehi, Mahdieh Baghshah, Hamid Rabiee

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization

Xu Cai, Jonathan Scarlett

Which Is More Effective in Label Noise Cleaning, Correction or Filtering?

Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Jingtao Li, Xing Chen, Li Yang et al.

A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability

Linfeng Ma, Han Fang, Tianyi Wei et al.

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views

Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T et al.

Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification

Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

Differentiable Auxiliary Learning for Sketch Re-identification

Xingyu Liu, Xu Cheng, Haoyu Chen et al.

Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing

Xiaolong Zou, Xingxing Cao, Xiaojiao Yang et al.

Batch normalization is sufficient for universal function approximation in CNNs

Rebekka Burkholz

Rethinking Multi-Scale Representations in Deep Deraining Transformer

Hongming Chen, Xiang Chen, Jiyang Lu 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.

Label Attentive Distillation for GNN-Based Graph Classification

Xiaobin Hong, Wenzhong Li, Chaoqun Wang et al.

Unbiased Multi-Label Learning from Crowdsourced Annotations

Mingxuan Xia, Zenan Huang, Runze Wu et al.

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation

Shiyang Lai, Yujin Potter, Junsol Kim et al.

ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing

Yi Dong, Yuxi Wang, Ruoxi Fan et al.

Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring

Wei Yu, Jianing Li, Shengping Zhang et al.

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary

Shuo Yang, Zhe Cao, Sheng Guo et al.

Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI

Daniel McDuff, Tim Korjakow, Scott Cambo et al.

Emergent Communication with Conversational Repair

Mitja Nikolaus

Learning in Online Principle-Agent Interactions: The Power of Menus

Minbiao Han, Michael Albert, Haifeng Xu

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach

Weijia Zhang, Chenlong Yin, Hao Liu et al.

SAT-Based Algorithms for Regular Graph Pattern Matching

Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration

Xiong-Hui Chen, Junyin Ye, Hang Zhao et al.

Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning

Kakei Yamamoto, Kazusato Oko, Zhuoran Yang et al.

Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation

Haoyu Ji, Bowen Chen, Xinglong Xu et al.

RingAttention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion

Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang et al.

Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness

Huy Phan, Jinqi Xiao, Yang Sui et al.

Policy-conditioned Environment Models are More Generalizable

Ruifeng Chen, Xiong-Hui Chen, Yihao Sun et al.

SILVER: Single-loop variance reduction and application to federated learning

Kazusato Oko, Shunta Akiyama, Denny Wu et al.

Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors

Authors: Shaojie Zhang, Chun Shen, Shuai Lü et al.

Unveiling Options with Neural Network Decomposition

Mahdi Alikhasi, Levi Lelis

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing

Hongbin Pei, Yu Li, Huiqi Deng et al.

Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery

Jian-Li Wang, Xi-Le Zhao

Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples

Chengen Lai, Shengli Song, Sitong Yan et al.

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE

Hao Wu, Huiyuan Wang, kun wang et al.

TurboEdit: Real-time text-based disentangled real image editing

Zongze Wu, Nicholas I Kolkin, Jonathan Brandt et al.

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

Authors: Mingjiang Duan, Tongya Zheng, Yang Gao et al.

Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network

Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu

Latent Diffusion Transformer for Probabilistic Time Series Forecasting

Authors: Shibo Feng, Chunyan Miao, Zhong Zhang et al.

G2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection

Authors: Yiwei Wei, Shaozu Yuan, Hengyang Zhou et al.

Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation

Sixian Zhang, Xinyao Yu, Xinhang Song et al.

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization

Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.

A Discretization Framework for Robust Contextual Stochastic Optimization

Rares Cristian, Georgia Perakis

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning

Zhe Huang, Xiaowei Yu, Dajiang Zhu et al.

Scaling Speech Technology to 1,000+ Languages

Vineel Pratap Konduru, Andros Tjandra, Bowen Shi et al.

Dynamic Tangled Derivative Logic of Metric Spaces

Authors: David Fernández-Duque, Yoàv Montacute

A Hybrid Global-Local Perception Network for Lane Detection

Authors: Qing Chang, Yifei Tong

Modeling Label Correlations with Latent Context for Multi-Label Recognition

Zhao-Min Chen, Quan Cui, Ruoxi Deng et al.

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction

Authors: Wei Chen, Yuxuan Liu, Zhao Zhang et al.

Unsupervised Moving Object Segmentation with Atmospheric Turbulence

Dehao Qin, Ripon Saha, Woojeh Chung et al.

On Stationary Point Convergence of PPO-Clip

Ruinan Jin, Shuai Li, Baoxiang Wang

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

Adyasha Maharana, Prateek Yadav, Mohit Bansal

AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion

Zhiheng Fu, Longguang Wang, Lian Xu et al.

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.

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

Tom Yan, Chicheng Zhang

UniADS: Universal Architecture

Distiller Search for Distillation Gap

Learning Planning Domains from Non

redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

Open-Vocabulary RGB-Thermal Semantic Segmentation

Guoqiang Zhao, JunJie Huang, Xiaoyun Yan et al.

ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples

Noo-ri Kim, Jin-Seop Lee, Jee-Hyong LEE

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

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

David Robin, Kevin Scaman, marc lelarge

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

Sparse3D: Distilling Multiview

Consistent Diffusion for Object Reconstruction from Sparse Views

DVANet: Disentangling View and Action Features for Multi

View Action Recognition

SphereDiffusion: Spherical Geometry

Aware Distortion Resilient Diffusion Model

Toward Open

Set Human-Object Interaction Detection

PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization

Yanlu Cai, Weizhong Zhang, Yuan Wu et al.

Learning Mixtures of Gaussian Processes through Random Projection

Emmanuel Akeweje, Mimi Zhang

MDGNN: Multi

Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

MIND: Multi

Task Incremental Network Distillation

Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis

Shicheng Liu, Minghui Zhu

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

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

Jason Piquenot, Aldo Moscatelli, Maxime Berar et al.

Domain Reduction Strategy for Non-Line-of-Sight Imaging

Hyunbo Shim, In Cho, Daekyu Kwon et al.

LoS: Local Structure-Guided Stereo Matching

Kunhong Li, Longguang Wang, Ye Zhang et al.

One Meta-tuned Transformer is What You Need for Few-shot Learning

Xu Yang, Huaxiu Yao, Ying WEI

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.

Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression

Yufeng Zhang, Hang Yu, Jianguo Li et al.

Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation

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

Yifan Feng, Yihe Luo, Shihui Ying et al.

Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

Adaptive Observation Cost Control for Variational Quantum Eigensolvers

Christopher J. Anders, Kim A. Nicoli, Bingting Wu et al.

Dropout Enhanced Bilevel Training

Peiran Yu, Junyi Li, Heng Huang

An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation

Jonas Arruda, Yannik Schälte, Clemens Peiter et al.

Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification

Martin Mihelich, François Castagnos, Charles Dognin

AutoLoRa: An Automated Robust Fine-Tuning Framework

Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli

Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation

Hugo Attali, Davide Buscaldi, Nathalie Pernelle

Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment

Yang Jin, Yadong Mu

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS

Amir Azarmehr, Soheil Behnezhad, Mohammad Roghani

Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer

Lintao Peng, Siyu Xie, Liheng Bian

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance

Mingyuan Bai, Wei Huang, Li Tenghui et al.

Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection

Kohei Yamashita, Vincent Lepetit, Ko Nishino

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

Annie Chen, Yoonho Lee, Amrith Setlur et al.

Memory Consolidation Enables Long-Context Video Understanding

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi et al.

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Analyzing $D^\alpha$ seeding for $k$-means

Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis

Shuo Yin, Guoqiang Zhong

Fine-Grained Bipartite Concept Factorization for Clustering

Chong Peng, Pengfei Zhang, Yongyong Chen et al.

Think before Placement: Common Sense Enhanced Transformer for Object Placement

Yaxuan Qin, Jiayu Xu, Ruiping Wang et al.

V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation

Pooja Guhan, Tsung-Wei Huang, Guan-Ming Su et al.

DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization

Zeqin Yu, Jiangqun Ni, Yuzhen Lin et al.

Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability

Dong Wu, Mingmin Chi, Xuan Zang et al.

Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes

Wenbo Hu, Hongjian Zhan, Xinchen Ma et al.

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following

Renze Lou, Kai Zhang, Jian Xie et al.

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation

Huimin Huang, Yawen Huang, Shiao Xie et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.