Most Cited 2024 "node separability" Papers

Deep Video Inverse Tone Mapping Based on Temporal Clues

Yuyao Ye, Ning Zhang, Yang Zhao et al.

Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Jingxuan Xu, Wuyang Chen, Yao Zhao et al.

VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos

Wen Xue, Le Jiang, Lianxin Xie et al.

Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation

Yuan Xiao, Shiqing Ma, Juan Zhai et al.

EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Priors

Zhipeng Hu, Minda Zhao, Chaoyi Zhao et al.

Object Dynamics Modeling with Hierarchical Point Cloud-based Representations

Chanho Kim, Li Fuxin

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Hongning Wang, Huazheng Wang

Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control

Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat et al.

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring

Ge Gao, Xi Yang, Min Chi

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

SEC: More Accurate Clustering Algorithm via Structural Entropy

Junyu Huang, Qilong Feng, Jiahui Wang et al.

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Pooling Image Datasets with Multiple Covariate Shift and Imbalance

Sotirios Panagiotis Chytas, Vishnu Lokhande, Vikas Singh

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

Identification for Tree-Shaped Structural Causal Models in Polynomial Time

Aaryan Gupta, Markus Bläser

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown et al.

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.

PBADet: A One-Stage Anchor-Free Approach for Part-Body Association

Zhongpai Gao, Huayi Zhou, Abhishek Sharma et al.

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

LEAD: Min-Max Optimization from a Physical Perspective

Guillaume Lajoie, Amartya Mitra, Reyhane Askari Hemmat et al.

Generalized Variational Inference via Optimal Transport

Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.

Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae

Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.

Leveraging Uncertainty Estimates To Improve Classifier Performance

Gundeep Arora, Srujana Merugu, Anoop Saladi et al.

Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection

Stefano Blumberg, Paddy Slator, Daniel Alexander

Fast Ensembling with Diffusion Schrödinger Bridge

Hyunsu Kim, Jongmin Yoon, Juho Lee

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.

The optimality of kernel classifiers in Sobolev space

Jianfa Lai, zhifan Li, Dongming Huang et al.

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul Bodily, Dan Ventura

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Rethinking and Extending the Probabilistic Inference Capacity of GNNs

Tuo Xu, Lei Zou

INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Eliciting Kemeny Rankings

Anne-Marie George, Christos Dimitrakakis

Differentiable Convex Polyhedra Optimization from Multi-view Images

Daxuan Ren, Haiyi Mei, Hezi Shi et al.

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Forward Learning of Graph Neural Networks

Namyong Park, Xing Wang, Antoine Simoulin et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy et al.

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks

Hung Quang Nguyen, Yingjie Lao, Tung Pham et al.

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation

Mucong Ding, Bang An, Yuancheng Xu et al.

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Discerning Temporal Difference Learning

Jianfei Ma

10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection

Hai Xia, Stefan Szeider

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Michael Livanos, Ian Davidson, Stephen Wong

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping

Yining Li, Peizhong Ju, Ness Shroff

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control

Wenhan Cao, Wei Pan

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.

Course Correcting Koopman Representations

Mahan Fathi, Clement Gehring, Jonathan Pilault et al.

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations

Binghui Xie, Yatao Bian, Kaiwen Zhou et al.

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees

Jinzhao Li, Nan Jiang, Yexiang Xue

Safe Collaborative Filtering

Riku Togashi, Tatsushi Oka, Naoto Ohsaka et al.

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

David Nguyen, David Liebowitz, Salil Kanhere et al.

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

Fan Zhou, Chen Pan, Lintao Ma et al.

Intelligent Switching for Reset-Free RL

Darshan Patil, Janarthanan Rajendran, Glen Berseth et al.

Maxileximin Envy Allocations and Connected Goods

Gianluigi Greco, Francesco Scarcello

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

Social-Aware Group Display Configuration in VR Conference

Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang et al.

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen et al.

Towards Robust Full Low-bit Quantization of Super Resolution Networks

Denis Makhov, Irina Zhelavskaya, Ruslan Ostapets et al.

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian

Learning Conditional Invariances through Non-Commutativity

Abhra Chaudhuri, Serban Georgescu, Anjan Dutta

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori et al.

Local Graph Clustering with Noisy Labels

Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang et al.

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

BugNIST - a Large Volumetric Dataset for Detection under Domain Shift

Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.

DDAE: Towards Deep Dynamic Vision BERT Pretraining

1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors

Kohei Ashida, Hiroaki Santo, Fumio Okura et al.

Moral Uncertainty and the Problem of Fanaticism

Jazon Szabo, Natalia Criado, Jose Such et al.

Multi-Label Supervised Contrastive Learning

Pingyue Zhang, Mengyue Wu

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Yeda Song, Dongwook Lee, Gunhee Kim

Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting

Aleksei Ustimenko, Aleksandr Beznosikov

P2Seg: Pointly-supervised Segmentation via Mutual Distillation

Zipeng Wang, Xuehui Yu, Xumeng Han et al.

Seeing Dark Videos via Self-Learned Bottleneck Neural Representation

Haofeng Huang, Wenhan Yang, Lingyu Duan et al.

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes

Jinsong Liu, Chenghan Xie, Qi Deng et al.

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.

NfgTransformer: Equivariant Representation Learning for Normal-form Games

SIQI LIU, Luke Marris, Georgios Piliouras et al.

Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures

Ganchao Wei

The Causal Impact of Credit Lines on Spending Distributions

Yijun Li, Cheuk Hang Leung, Xiangqian Sun et al.

Sample-and-Bound for Non-convex Optimization

Yaoguang Zhai, Zhizhen Qin, Sicun Gao

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Amortized Network Intervention to Steer the Excitatory Point Processes

Zitao Song, Wendi Ren, Shuang Li

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE

Haonan Yu, Wei Xu

Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning

Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.

A representation-learning game for classes of prediction tasks

Neria Uzan, Nir Weinberger

Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer

Qiuyun Zhang, Bin Guo, Lina Yao et al.

Focus Stacking with High Fidelity and Superior Visual Effects

Bo Liu, Bin Hu, Xiuli Bi et al.

Revisiting Open-Set Panoptic Segmentation

Yufei Yin, Hao Chen, Wengang Zhou et al.

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.

Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations

Haziq Razali, Yiannis Demiris

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Di Wu, Yuling Jiao, Li Shen et al.

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Yu Liu, Runzhe Wan, James McQueen et al.

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

Danning Lao, Qi Liu, Jiazi Bu et al.

Self-supervised Shape Completion via Involution and Implicit Correspondences

Mengya Liu, Ajad Chhatkuli, Janis Postels et al.

Graph Generation with $K^2$-trees

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.

Layer Compression of Deep Networks with Straight Flows

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam et al.

RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering

Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng et al.

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

SAT-Based Techniques for Lexicographically Smallest Finite Models

Mikoláš Janota, Choiwah Chow, João Araújo et al.

LCOT: Linear Circular Optimal Transport

ROCIO DIAZ MARTIN, Ivan Medri, Yikun Bai et al.

Generalization error of spectral algorithms

Maksim Velikanov, Maxim Panov, Dmitry Yarotsky

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making

Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park et al.

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.

Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem

Simon Segert

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost

Yuan Gao, WEIZHONG ZHANG, Wenhan Luo et al.

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Attention-based Iterative Decomposition for Tensor Product Representation

Taewon Park, inchul choi, Minho Lee

RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields

Doriand Petit, Steve Bourgeois, Dumitru Pavel et al.

Training A Secure Model against Data-Free Model Extraction

Zhenyi Wang, Li Shen, junfeng guo et al.

Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data

Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo

Self-Supervised Video Copy Localization with Regional Token Representation

Minlong Lu, Yichen Lu, Siwei Nie et al.

An accurate detection is not all you need to combat label noise in web-noisy datasets

Paul Albert, Kevin McGuinness, Eric Arazo et al.

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models

Rining Wu, Feixiang Zhou, Ziwei Yin et al.

Deep Cost Ray Fusion for Sparse Depth Video Completion

Jungeon Kim, Soongjin Kim, Jaesik Park et al.

Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework

Qiongjie Cui, Huaijiang Sun, Bin Li et al.

Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

Hyunsu Kim, Ye Gon Kim, Hongseok Yang et al.

Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach

Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser

Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

Optimally Improving Cooperative Learning in a Social Setting

Shahrzad Haddadan, Cheng Xin, Jie Gao

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation

Jianan Li, Qiulei Dong

Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

Anton Plaksin, Vitaly Kalev

ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration

Zeqi Zhu, Alberto Garcia-Ortiz, Luc Waeijen et al.

An Intrinsic Vector Heat Network

Alexander Gao, Maurice Chu, Mubbasir Kapadia et al.

MultiMax: Sparse and Multi-Modal Attention Learning

Yuxuan Zhou, Mario Fritz, Margret Keuper

Harmonizing knowledge Transfer in Neural Network with Unified Distillation

yaomin huang, faming Fang, Zaoming Yan et al.

Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks

lingzhuang meng, Mingwen Shao, Yuanjian Qiao et al.

Learning from Streaming Data when Users Choose

Jinyan Su, Sarah Dean

UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening

Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang et al.

Triple Changes Estimator for Targeted Policies

Sina Akbari, Negar Kiyavash

Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift

kangyu xiao, Zilei Wang, junjie li

Practical Performance Guarantees for Pipelined DNN Inference

Aaron Archer, Matthew Fahrbach, Kuikui Liu et al.

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Scale-Free Image Keypoints Using Differentiable Persistent Homology

Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno et al.

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

Yihong Sun, Bharath Hariharan

Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models

Phuong Dam, Jihoon Jeong, Anh Tran et al.

Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.

Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees

Marco Bressan, Mauro Sozio

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes

Mihir Mahajan, Florian Hofherr, Daniel Cremers

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding

Kaiyuan Chen, Xingzhuo Guo, Yu Zhang et al.

Stripe Observation Guided Inference Cost-free Attention Mechanism

Zhongzhan Huang, Shanshan Zhong, Wushao Wen et al.

Multi-View Stochastic Block Models

Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi et al.

A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering

Vincent Cohen-Addad, Tommaso d'Orsi, Aida Mousavifar

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

Yukun Wang, Kunhong Li, Minglin Chen et al.

Collaborative Learning with Different Labeling Functions

yuyang deng, Mingda Qiao

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

Daniel Dodd, Louis Sharrock, Chris Nemeth

Spike Distance Function as a Learning Objective for Spike Prediction

Kevin Doran, Marvin Seifert, Carola Yovanovich et al.

Compositional Curvature Bounds for Deep Neural Networks

Taha Entesari, Sina Sharifi, Mahyar Fazlyab

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization

Yoon Gyo Jung, Jaewoo Park, Xingbo Dong et al.

Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization

Badih Ghazi, Pritish Kamath, Ravi Kumar et al.

UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation

Shuang Wu, Songlin Tang, Guangming Lu et al.

GroundUp: Rapid Sketch-Based 3D City Massing

Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya et al.

Predictive Performance Comparison of Decision Policies Under Confounding

Luke Guerdan, Amanda Coston, Ken Holstein et al.

MGit: A Model Versioning and Management System

Wei Hao, Daniel Mendoza, Rafael Mendes et al.

Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design

Li, zhihao shu, Jie Ji et al.

Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models

Ding Huang, Ting Li, Jian Huang

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

Qiang Huang, Chuizheng Meng, Defu Cao et al.

Towards compact reversible image representations for neural style transfer

Xiyao Liu, Siyu Yang, Jian Zhang et al.

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Wonho Bae, Jing Wang, Danica J. Sutherland

Learning to Build by Building Your Own Instructions

Aaron Walsman, Muru Zhang, Adam Fishman et al.

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning

Animesh Karnewar, Roman Shapovalov, Tom Monnier et al.

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision

Jinhee Kim, Taesung Kim, Choo Jaegul

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation

Taejong Joo, Diego Klabjan

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim et al.

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks

Zhifa Ke, Zaiwen Wen, Junyu Zhang