Most Cited 2024 "statutory revisions" Papers

Oracle Efficient Algorithms for Groupwise Regret

Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan et al.

Principled Architecture-aware Scaling of Hyperparameters

Wuyang Chen, Junru Wu, Zhangyang Wang et al.

Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning

Meixuan Li, Tianyu Li, Guoqing Wang et al.

One Step Learning, One Step Review

Huang Xiaolong, Qiankun Li, Xueran Li et al.

HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis

Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren et al.

CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation

Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu et al.

HORIZON: High-Resolution Semantically Controlled Panorama Synthesis

Kun Yan, Lei Ji, Jian Liang et al.

Fixed-Budget Differentially Private Best Arm Identification

Zhirui Chen, P. N. Karthik, Yeow Meng Chee et al.

NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis

Yubin Hu, Xiaoyang Guo, Yang Xiao et al.

EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.

Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation

Linlong Fan, Ye Huang, Yanqi Ge et al.

Online Video Quality Enhancement with Spatial-Temporal Look-up Tables

Zefan Qu, Xinyang Jiang, Yifan Yang et al.

Learning Thresholds with Latent Values and Censored Feedback

Jiahao Zhang, Tao Lin, Weiqiang Zheng et al.

LEROjD: Lidar Extended Radar-Only Object Detection

Patrick Palmer, Martin Krüger, Stefan Schütte et al.

Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping

Minseong Park, Suhan Woo, Euntai Kim

Learning-based Axial Video Motion Magnification

Kwon Byung-Ki, HYUNBIN OH, Kim Jun-Seong et al.

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Meng-Chieh Lee, Haiyang Yu, Jian Zhang et al.

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion

Yan Hong, Yuxuan Duan, Bo Zhang et al.

Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation

Yushun Tang, Shuoshuo Chen, Zhihe Lu et al.

HashPoint: Accelerated Point Searching and Sampling for Neural Rendering

Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal et al.

Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining

Diwei Su, cheng fei, Jianxu Luo

What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases

Luca Andolfi, Gianluca Cima, Marco Console et al.

GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method

Haoxin Lyu, Tianxiong Zhong, Sanyuan Zhao

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Ziping Xu, Zifan Xu, Runxuan Jiang et al.

Global-to-Pixel Regression for Human Mesh Recovery

Yabo Xiao, MINGSHU HE, Dongdong Yu

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing

Haibo Jin, Ruoxi Chen, Jinyin Chen et al.

Efficient Neural Video Representation with Temporally Coherent Modulation

Seungjun Shin, Suji Kim, Dokwan Oh

Deep Online Probability Aggregation Clustering

Yuxuan Yan, Na Lu, Ruofan Yan

Compact Optimality Verification for Optimization Proxies

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau et al.

Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection

Xiaohong Zhang, Huisheng Ye, Jingwen Li et al.

On Double Descent in Reinforcement Learning with LSTD and Random Features

David Brellmann, Eloïse Berthier, David Filliat et al.

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing

Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.

FOSI: Hybrid First and Second Order Optimization

Hadar Sivan, Moshe Gabel, Assaf Schuster

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)

Christian Kindermann, Anne-Marie George, Bijan Parsia et al.

ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling

William Zhu, Keren Ye, Junjie Ke et al.

FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation

Fan Qi, Ruijie Pan, Huaiwen Zhang et al.

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Cheng Tan, Zhangyang Gao, Hanqun CAO et al.

Adversarial Robustification via Text-to-Image Diffusion Models

Daewon Choi, Jongheon Jeong, Huiwon Jang et al.

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video

Hengyi Wang, Jingwen Wang, Lourdes Agapito

Graph Adversarial Diffusion Convolution

Songtao Liu, Jinghui Chen, Tianfan Fu et al.

A Contextual Combinatorial Bandit Approach to Negotiation

Yexin Li, Zhancun Mu, Siyuan Qi

FairViT: Fair Vision Transformer via Adaptive Masking

Bowei Tian, Ruijie Du, Yanning Shen

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

Rohan Sarkar, Avinash Kak

Turnstile $\ell_p$ leverage score sampling with applications

Alexander Munteanu, Simon Omlor

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Nishant Yadav, Nicholas Monath, Manzil Zaheer et al.

An Investigation of Representation and Allocation Harms in Contrastive Learning

Subha Maity, Mayank Agarwal, Mikhail Yurochkin et al.

Towards Equipping Transformer with the Ability of Systematic Compositionality

Chen Huang, Peixin Qin, Wenqiang Lei et al.

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification

Jimmy Lin, Junkai Li, Jiasi Gao et al.

A2XP: Towards Private Domain Generalization

Geunhyeok Yu, Hyoseok Hwang

SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding

Han Xiao, Wenzhao Zheng, Sicheng Zuo et al.

Enabling Lanuguage Models to Implicitly Learn Self-Improvement

Ziqi Wang, Le Hou, Tianjian Lu et al.

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

Sergei Shumilin, Alexander Ryabov, Nikolay Yavich et al.

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration

Siqi Wang, Bryan Plummer

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan et al.

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise

Qingzheng Huang, Xilin He, Xiaole Xian et al.

Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding

niloofar azizi, Mohsen Fayyaz, Horst Bischof

Synthesizing Time-varying BRDFs via Latent Space

Takuto Narumoto, Hiroaki Santo, Fumio Okura

Coreference Graph Guidance for Mind-Map Generation

Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.

Towards Better Vision-Inspired Vision-Language Models

Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang et al.

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer

Qinji Yu, Yirui Wang, Ke Yan et al.

Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving

Javier Larrosa, Conrado Martínez, Emma Rollon

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks

Sanbao Su, Xin Li, Thang Doan et al.

Mean Field Theory in Deep Metric Learning

Takuya Furusawa

DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose

Yoshiyasu Yusuke, Leyuan Sun

TVE: Learning Meta-attribution for Transferable Vision Explainer

Guanchu (Gary) Wang, Yu-Neng Chuang, Fan Yang et al.

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models

Dan Shi, Chaobin You, Jian-Tao Huang et al.

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs

Thien Le, Luana Ruiz, Stefanie Jegelka

Generative Quanta Color Imaging

Vishal Purohit, Junjie Luo, Yiheng Chi et al.

Topology-Preserving Downsampling of Binary Images

Chia-Chia Chen, Chi-Han Peng

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

Runfa Chen, Ling Wang, Yu Du et al.

Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network

Sukwon Yun, Jie Peng, Alexandro E Trevino et al.

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.

Optimal Kernel Quantile Learning with Random Features

Caixing Wang, Xingdong Feng

Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis

Hanting Li, Hongjing Niu, Feng Zhao

Efficient Cascaded Multiscale Adaptive Network for Image Restoration

Yichen Zhou, Pan Zhou, Teck Khim Ng

Total Variation Floodgate for Variable Importance Inference in Classification

Wenshuo Wang, Lucas Janson, Lihua Lei et al.

InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction

Xulong Wang, Siyan Dong, Youyi Zheng et al.

Deep Regression Representation Learning with Topology

Shihao Zhang, Kenji Kawaguchi, Angela Yao

From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation

Javier Tirado-Garín, Javier Civera

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Characterizing Model Robustness via Natural Input Gradients

Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

Raven Beutner, Bernd Finkbeiner

Efficient ConvBN Blocks for Transfer Learning and Beyond

Kaichao You, Guo Qin, Anchang Bao et al.

OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction

Yini Fang, Jingling Yu, Haozheng Zhang et al.

CPN: Complementary Proposal Network for Unconstrained Text Detection

Longhuang Wu, Shangxuan Tian, Youxin Wang et al.

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation

Hanhui Li, Xiaojian Lin, Xuan Huang et al.

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images

Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi et al.

Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization

Yilin Liu, Yunkui Pang, Jiang Li et al.

MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery

Pei Zhou, Yanchao Yang

Adaptive Annealing for Robust Averaging

Sidhartha Chitturi, Venu Madhav Govindu

Amortized Equation Discovery in Hybrid Dynamical Systems

Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas et al.

MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References

Lukas Bösiger, Mihai Dusmanu, Marc Pollefeys et al.

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization

Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Peng Liao, Xilu Wang, Yaochu Jin et al.

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang et al.

Bayesian Program Learning by Decompiling Amortized Knowledge

Alessandro Palmarini, Christopher Lucas, Siddharth N

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun et al.

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization

Mohammad Pedramfar, Yididiya Nadew, Chris Quinn et al.

Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning

Amandeep Kumar, Muhammad Awais, Sanath Narayan et al.

Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations

Xiaolin Sun, Zizhan Zheng

Conformal Predictions under Markovian Data

Frédéric Zheng, Alexandre Proutiere

Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation

YAO YAO, Yixuan Pan, Wenjun Shi et al.

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games

Brian Zhang, Gabriele Farina, Tuomas Sandholm

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows

Zhenggang Tang, Jason Ren, Xiaoming Zhao et al.

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers

Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen et al.

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings

Edouard YVINEC, Arnaud Dapogny, Kevin Bailly

MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space

Armand Comas Massague, Di Qiu, Menglei Chai et al.

Generative Marginalization Models

Sulin Liu, Peter Ramadge, Ryan P. Adams

Masked Distillation Advances Self-Supervised Transformer Architecture Search

Caixia Yan, Xiaojun Chang, Zhihui Li et al.

Diffusion Sampling with Momentum for Mitigating Divergence Artifacts

Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn et al.

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

Lijia Zhou, James Simon, Gal Vardi et al.

A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation

Mufan Xue, Xinyu Wu, Jinlong Li et al.

Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation

Genki Kinoshita, Ko Nishino

Mask-Based Modeling for Neural Radiance Fields

Ganlin Yang, Guoqiang Wei, Zhizheng Zhang et al.

Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation

Donghyun Lee, Yejin Lee, Jae W. Lee et al.

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation

Michelle Pan, Mariah Schrum, Vivek Myers et al.

Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens

Ross Clarke, Jose Miguel Hernandez-Lobato

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning

James Chapman, Lennie Wells, Ana Lawry Aguila

LineFit: A Geometric Approach for Fitting Line Segments in Images

Marion BOYER, David Youssefi, Florent Lafarge

WinSyn: : A High Resolution Testbed for Synthetic Data

Tom Kelly, John Femiani, Peter Wonka

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham et al.

Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks

Haixiao Wang, Zhichao Wang

From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation

Yunfei Xie, Cihang Xie, Alan Yuille et al.

Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets

Ishan Rajendrakumar Dave, Fabian Caba, Shah Mubarak et al.

AUC Optimization from Multiple Unlabeled Datasets

Zheng Xie, Yu Liu, Ming Li

Criterion Collapse and Loss Distribution Control

Matthew J. Holland

Feature-aligned N-BEATS with Sinkhorn divergence

Joonhun Lee, Myeongho Jeon, Myungjoo Kang et al.

Two Tales of Single-Phase Contrastive Hebbian Learning

Rasmus Kjær Høier, Christopher Zach

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection

Hongbin Lin, Yifan Zhang, SHUAICHENG NIU et al.

Randomized Confidence Bounds for Stochastic Partial Monitoring

Maxime Heuillet, Ola Ahmad, Audrey Durand

Careful with that Scalpel: Improving Gradient Surgery with an EMA

Yu-Guan Hsieh, James Thornton, Eugene Ndiaye et al.

SeiT++: Masked Token Modeling Improves Storage-efficient Training

Minhyun Lee, Song Park, Byeongho Heo et al.

FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis

Vishnu Mani Hema, Shubhra Aich, Christian Haene et al.

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images

Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie et al.

Unified Local-Cloud Decision-Making via Reinforcement Learning

Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj et al.

Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez et al.

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains

Steven Wilkins-Reeves, Xu Chen, Qi Ma et al.

Rethinking Robustness of Model Attributions

Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.

Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time

Aakash, Indranil Saha

AACP: Aesthetics Assessment of Children’s Paintings Based on Self

Supervised Learning

Multigroup Robustness

Lunjia Hu, Charlotte Peale, Judy Hanwen Shen

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making

Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias

Wenyu Zhang, Qingmu Liu, Felix Ong et al.

FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation

Jingyi Tang, Gu Wang, Zeyu Chen et al.

Automated Loss function Search for Class-imbalanced Node Classification

Xinyu Guo, KAI WU, Xiaoyu Zhang et al.

Knowledge-Aware Neuron Interpretation for Scene Classification

Yong Guan, Freddy Lecue, Jiaoyan Chen et al.

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks

Sarah Jabbour, Gregory Kondas, Ella Kazerooni et al.

SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding

Zixu Cheng, Yujiang Pu, Shaogang Gong et al.

OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal

Qiao Mo, Yukang Ding, Jinhua Hao et al.

Adaptive Accompaniment with ReaLchords

Yusong Wu, Tim Cooijmans, Kyle Kastner et al.

Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms

Yi Li, Honghao Lin, David Woodruff

Fast-ELECTRA for Efficient Pre-training

Chengyu Dong, Liyuan Liu, Hao Cheng et al.

Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity

Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

Responsible Visual Editing

Minheng Ni, Yeli Shen, Yabin Zhang et al.

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

Kyle Lo, Jorg Peters, Eric Spellman

A Tensor Decomposition Perspective on Second-order RNNs

Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal et al.

Evolving Subnetwork Training for Large Language Models

hanqi li, Lu Chen, Da Ma et al.

A Dynamic Algorithm for Weighted Submodular Cover Problem

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

Observation-Guided Diffusion Probabilistic Models

Junoh Kang, Jinyoung Choi, Sungik Choi et al.

Photon Inhibition for Energy-Efficient Single-Photon Imaging

Lucas Koerner, Shantanu Gupta, Atul N Ingle et al.

Distributed Bilevel Optimization with Communication Compression

Yutong He, Jie Hu, Xinmeng Huang et al.

Pre-training Vision Models with Mandelbulb Variations

Benjamin N. Chiche, Yuto Horikawa, Ryo Fujita

COSMU: Complete 3D human shape from monocular unconstrained images

Marco Pesavento, Marco Volino, Adrian Hilton

Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information

Luca Di Giammarino, Boyang Sun, Giorgio Grisetti et al.

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks

Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.

Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data

Wufei Ma, Kai Li, Zhongshi Jiang et al.

Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance

Jing Li, Junsong Fan, Zhaoxiang Zhang

CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection

Jinglin Zhan, Tiejun Liu, Rengang Li et al.

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

Shishir Reddy Vutukur, Junwen Huang, Rasmus Laurvig Haugaard et al.

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

Aamal Hussain, Francesco Belardinelli

Synchronization of Projective Transformations

Rakshith Madhavan, Andrea Fusiello, Federica Arrigoni

On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition

Yunyan Bai, Yuxing Liu, Luo Luo

Adaptive Softassign via Hadamard-Equipped Sinkhorn

Binrui Shen, Qiang Niu, Shengxin Zhu

Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing

Guangming Zhu, Siyuan Wang, Tianci Wu et al.

ViG-Bias: Visually Grounded Bias Discovery and Mitigation

Badr-Eddine Marani, Mohamed HANINI, Nihitha Malayarukil et al.

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S Meel

State-Constrained Zero-Sum Differential Games with One-Sided Information

Mukesh Ghimire, Lei Zhang, Zhe Xu et al.

Non-monotone Sequential Submodular Maximization

Shaojie Tang, Jing Yuan

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain

Timothy Chase, Karthik Dantu

Neural graphics texture compression supporting random access

Farzad Farhadzadeh, Qiqi Hou, Hoang Le et al.

Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence

Yancheng Huang, Kai Yang, Zelin Zhu et al.

Depth-guided NeRF Training via Earth Mover’s Distance

Anita Rau, Josiah Aklilu, Floyd C Holsinger et al.

ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images

Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew et al.

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Chao Li, Yupeng Zhang, Jianqi Wang et al.

Robust Data-driven Prescriptiveness Optimization

Mehran Poursoltani, Erick Delage, Angelos Georghiou

Learning Coalition Structures with Games

CLOAF: CoLlisiOn-Aware Human Flow

Andrey Davydov, Martin Engilberge, Mathieu Salzmann et al.

Formula-Supervised Visual-Geometric Pre-training

Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka et al.

Auditable Algorithms for Approximate Model Counting

S Akshay, Supratik Chakraborty, Kuldeep S Meel

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.

Do Generalised Classifiers really work on Human Drawn Sketches?

Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain et al.

Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework

Eliya Segev, Maya Alroy, Ronen Katsir et al.