Most Cited 2024 "predictor-based methods" Papers

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

Shuai Zhang, Heshan Fernando, Miao Liu et al.

Low-Latency Space-Time Supersampling for Real-Time Rendering

Ruian He, Shili Zhou, Yuqi Sun et al.

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs

Aakash Sunil Lahoti, Stefani Karp, Ezra Winston et al.

Don't Judge by the Look: Towards Motion Coherent Video Representation

Yitian Zhang, Yue Bai, Huan Wang et al.

Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density

Peiyu Yang, Naveed Akhtar, Shah Mubarak et al.

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

Wanpeng Zhang, Yilin Li, Boyu Yang et al.

Directly Denoising Diffusion Models

Dan Zhang, Jingjing Wang, Feng Luo

Graph Parsing Networks

Yunchong Song, Siyuan Huang, Xinbing Wang et al.

Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild

Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform

Chunghyun Park, Seungwook Kim, Jaesik Park et al.

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models

Yangming Li, Boris van Breugel, Mihaela van der Schaar

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks

Cheeun Hong, Kyoung Mu Lee

Approximately Piecewise E(3) Equivariant Point Networks

Matan Atzmon, Jiahui Huang, Francis Williams et al.

Faster Sampling via Stochastic Gradient Proximal Sampler

Xunpeng Huang, Difan Zou, Hanze Dong et al.

Faster Adaptive Decentralized Learning Algorithms

Feihu Huang, jianyu zhao

Identifying Important Group of Pixels using Interactions

Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies

Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee et al.

Vista3D: unravel the 3d darkside of a single image

Qiuhong Shen, Xingyi Yang, Michael Bi Mi et al.

MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning

Dongyao Jiang, Hui Chen, Haodong Jing et al.

Uncertainty Visualization via Low-Dimensional Posterior Projections

Omer Yair, Tomer Michaeli, Elias Nehme

3R-INN: How to be climate friendly while consuming/delivering videos?

ZOUBIDA AMEUR, Claire-Helene Demarty, Olivier LE MEUR et al.

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

Lei Zhao, Mengdi Wang, Yu Bai

Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling

Jaehyeok Kim, Dongyoon Wee, Dan Xu

Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation

Yuchen Yang, Yu Qiao, Xiao Sun

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

Straightforward Layer-wise Pruning for More Efficient Visual Adaptation

Ruizi Han, Jinglei Tang

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Tianchen Zhou, Hairi, Haibo Yang et al.

Root Cause Explanation of Outliers under Noisy Mechanisms

Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder

Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.

A Multi-Level Framework for Accelerating Training Transformer Models

Longwei Zou, Han Zhang, Yangdong Deng

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting

Jiaxu Wang, Zhang Ziyi, Junhao He et al.

A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data

Saptarshi Chakraborty, Peter Bartlett

An Information Theoretic Approach to Interaction-Grounded Learning

Xiaoyan Hu, Farzan Farnia, Ho-fung Leung

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

Loss Shaping Constraints for Long-Term Time Series Forecasting

Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.

A Rate-Distortion View of Uncertainty Quantification

Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen et al.

Retargeting Visual Data with Deformation Fields

Tim Elsner, Julia Berger, Tong Wu et al.

CLEO: Continual Learning of Evolving Ontologies

Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.

Online Isolation Forest

Filippo Leveni, Guilherme Weigert Cassales, Bernhard Pfahringer et al.

Look Around and Learn: Self-Training Object Detection by Exploration

Gianluca Scarpellini, Stefano Rosa, Pietro Morerio et al.

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation

Chengming Hu, Haolun Wu, Xuan Li et al.

PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF

Mohsen Gholami, Rabab Ward, Z. Jane Wang

Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation

Floris Holstege, Bram Wouters, Noud van Giersbergen et al.

Efficient Constraint Generation for Stochastic Shortest Path Problems

Johannes Schmalz, Felipe Trevizan

REMEDI: Corrective Transformations for Improved Neural Entropy Estimation

Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy et al.

On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning

Jeongheon Oh, Kibok Lee

Lookbehind-SAM: k steps back, 1 step forward

Gonçalo Mordido, Pranshu Malviya, Aristide Baratin et al.

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization

Jiyoung Kim, Kyuhong Shim, Insu Lee et al.

BAND: Biomedical Alert News Dataset

Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.

Mathematical Framework for Online Social Media Auditing

Wasim Huleihel, Yehonathan Refael

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz et al.

Multi-Region Text-Driven Manipulation of Diffusion Imagery

Yiming Li, Peng Zhou, Jun Sun et al.

Quantum Algorithm for Online Exp-concave Optimization

Jianhao He, Chengchang Liu, Xutong Liu et al.

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

Ruisi Zhao, Mingming Li, Zheng Yang et al.

Platypus: A Generalized Specialist Model for Reading Text in Various Forms

Peng Wang, Zhaohai Li, Jun Tang et al.

MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation

Alexandre Hayderi, Amin Saberi, Ellen Vitercik et al.

Decodable and Sample Invariant Continuous Object Encoder

Dehao Yuan, Furong Huang, Cornelia Fermuller et al.

A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions

Kai Weixian Lan, Elias Gueidon, Ayano Kaneda et al.

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks

Jingyuan Qi, Minqian Liu, Ying Shen et al.

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.

HDformer: A Higher

Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan

FYI: Flip Your Images for Dataset Distillation

Byunggwan Son, Youngmin Oh, Donghyeon Baek et al.

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation

Hyun Seok Seong, WonJun Moon, SuBeen Lee et al.

Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks

Cheng Gong, Yao Chen, Qiuyang Luo et al.

Robust Universal Adversarial Perturbations

Changming Xu, Gagandeep Singh

Abstract Action Scheduling for Optimal Temporal Planning via OMT

Stefan Panjkovic, Andrea Micheli

Image Manipulation Detection With Implicit Neural Representation and Limited Supervision

Zhenfei Zhang, Mingyang Li, Xin Li et al.

Online Temporal Action Localization with Memory-Augmented Transformer

Youngkil Song, Dongkeun Kim, Minsu Cho et al.

All Rivers Run to the Sea: Private Learning with Asymmetric Flows

Yue Niu, Ramy E. Ali, Saurav Prakash et al.

Disentangled Generation and Aggregation for Robust Radiance Fields

Shihe Shen, Huachen Gao, Wangze Xu et al.

TEDDY: Trimming Edges with Degree-based Discrimination Strategy

Hyunjin Seo, Jihun Yun, Eunho Yang

Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation

Chongjie Si, Xuehui Wang, Xiaokang Yang et al.

Simplicity Bias via Global Convergence of Sharpness Minimization

Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi et al.

Interpretability-Guided Test-Time Adversarial Defense

Akshay Ravindra Kulkarni, Tsui-Wei Weng

No Dimensional Sampling Coresets for Classification

Meysam Alishahi, Jeff Phillips

DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration

Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video

Xiangming Zhu, Huayu Deng, Haochen Yuan et al.

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency

Yeonsung Jung, Heecheol Yun, Joonhyung Park et al.

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Lin Chen, Zhijie Jia, Lechao Cheng et al.

Hybrid Neural Representations for Spherical Data

Hyomin Kim, Yunhui Jang, Jaeho Lee et al.

Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition

Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee et al.

GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds

Prashant Kumar, Kshitij Madhav Bhat, Vedang Bhupesh Shenvi Nadkarni et al.

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Songtuan Lin, Conny Olz, Malte Helmert et al.

LAENeRF: Local Appearance Editing for Neural Radiance Fields

Lukas Radl, Michael Steiner, Andreas Kurz et al.

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

Sean Lamont, Michael Norrish, Amir Dezfouli et al.

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs

Mattia Segu, Luigi Piccinelli, Siyuan Li et al.

On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning

Ari Karchmer

VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting

Renjie Li, Zhiwen Fan, Bohua Wang et al.

Maximum Entropy Model Correction in Reinforcement Learning

Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.

Causal Strategic Learning with Competitive Selection

Sparse Dimensionality Reduction Revisited

Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen et al.

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization

Jiayi Wang, Shiqiang Wang, Rong-Rong Chen et al.

Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization

Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto

Synthesizing Environment-Specific People in Photographs

Mirela Ostrek, Carol O'Sullivan, Michael J. Black et al.

Subhomogeneous Deep Equilibrium Models

Pietro Sittoni, Francesco Tudisco

MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition

Aggelina Chatziagapi, Grigorios Chrysos, Dimitris Samaras

Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model

Chenyin Gao, ZHIMING ZHANG, Shu Yang

Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset

Mijoo Kim, Junseok Kwon

Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition

Jean-Rémy Conti, Stephan CLEMENCON

Safe and Robust Watermark Injection with a Single OoD Image

Shuyang Yu, Junyuan Hong, Haobo Zhang et al.

Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods

Wenzhi Gao, Chunlin Sun, Chenyu Xue et al.

Customized Generation Reimagined: Fidelity and Editability Harmonized

Jian Jin, Yang Shen, Zhenyong Fu et al.

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation

Yuyuan Liu, Yuanhong Chen, Hu Wang et al.

Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography

Romain Vo, Julie Escoda, Caroline Vienne et al.

DMTG: One-Shot Differentiable Multi-Task Grouping

Yuan Gao, Shuguo Jiang, Moran Li et al.

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy

Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet et al.

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions

Johannes Resin

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

Testing the Feasibility of Linear Programs with Bandit Feedback

Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama et al.

HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation

Shanyan Guan, Yanhao Ge, Ying Tai et al.

A New Dataset and Framework for Real-World Blurred Images Super-Resolution

Rui Qin, Ming Sun, Chao Zhou et al.

Evaluating Model Bias Requires Characterizing its Mistakes

Isabela Albuquerque, Jessica Schrouff, David Warde-Farley et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization

Yufan LIAO, Qi Wu, Xing Yan

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila McIlraith, J. Christopher Beck

Explaining Probabilistic Models with Distributional Values

Luca Franceschi, Michele Donini, Cedric Archambeau et al.

Tensorial template matching for fast cross-correlation with rotations and its application for tomography

Antonio Martinez-Sanchez, Ulrike Homberg, J. M. Almira et al.

A Hierarchical Network for Multimodal Document-Level Relation Extraction

Lingxing Kong, Jiuliang Wang, Zheng Ma et al.

Implicit Steganography Beyond the Constraints of Modality

Sojeong Song, Seoyun Yang, Chang Yoo et al.

Human-in-the-Loop Visual Re-ID for Population Size Estimation

Gustavo Perez, Daniel Sheldon, Grant Van Horn et al.

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding

Zhiqiang Chen, Yang Chen, xiaolong Zou et al.

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method

Qinghua Tao, Francesco Tonin, Alex Lambert et al.

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

Yunhao Li, Xiaodong Wang, Ping Wang et al.

Fast White-Box Adversarial Streaming Without a Random Oracle

Ying Feng, Aayush Jain, David Woodruff

Look Hear: Gaze Prediction for Speech-directed Human Attention

Sounak Mondal, Seoyoung Ahn, Zhibo Yang et al.

Saliency strikes back: How filtering out high frequencies improves white-box explanations

Sabine Muzellec, Thomas FEL, Victor Boutin et al.

Pantypes: Diverse Representatives for Self-Explainable Models

Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Benjamin Eyre, Elliot Creager, David Madras et al.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.

Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models

Qinyu Yang, Haoxin Chen, Yong Zhang et al.

Let's do the time-warp-attend: Learning topological invariants of dynamical systems

Noa Moriel, Matt Ricci, Mor Nitzan

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

Hyunki Seong, Hyunchul Shim

An Adaptive Screen-Space Meshing Approach for Normal Integration

Moritz Heep, Eduard Zell

High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm

Jian Li, Yong Liu, Weiping Wang

Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving

Ding Qiuyu, Hailong Cao, Tiejun Zhao

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

A General Search-Based Framework for Generating Textual Counterfactual Explanations

Daniel Gilo, Shaul Markovitch

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic

Liulu He, yufei zhao, rui gao et al.

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

Orcun Cetintas, Tim Meinhardt, Guillem Brasó et al.

Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments

YIYAO MA, Kai Chen, Hon-Sing Tong et al.

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions

Harrie Oosterhuis, Lijun Lyu, Avishek Anand

Statistical Spatially Inhomogeneous Diffusion Inference

Yinuo Ren, Yiping Lu, Lexing Ying et al.

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs

Tianyuan Jin, Hao-Lun Hsu, William Chang et al.

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities

Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh

HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning

Eugene Valassakis, Guillermo Garcia-Hernando

Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization

Wei Huang, Yilei Shi, Zhitong Xiong et al.

Motion Blur Decomposition with Cross-shutter Guidance

Xiang Ji, Haiyang Jiang, Yinqiang Zheng

2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction

Atsuya Nakata, Takao Yamanaka

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Online Information Acquisition: Hiring Multiple Agents

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti

Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization

Mengnan Liu, Le Wang, Sanping Zhou et al.

Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection

Minzhou Pan, Zhenting Wang, Xin Dong et al.

Joint Composite Latent Space Bayesian Optimization

Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat et al.

SemanticHuman-HD: High Resolution Semantic disentangled 3D Human Generation

Peng Zheng, Tao Liu, Zili Yi et al.

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang et al.

Towards Poisoning Fair Representations

Tianci Liu, Haoyu Wang, Feijie Wu et al.

DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS

Ilan Price, Nicholas Daultry Ball, Adam Jones et al.

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

Wenyu Li, Binghui Chen, Yifeng Geng et al.

Sufficient conditions for offline reactivation in recurrent neural networks

Nanda H Krishna, Colin Bredenberg, Daniel Levenstein et al.

Trust Regions for Explanations via Black-Box Probabilistic Certification

Amit Dhurandhar, Swagatam Haldar, Dennis Wei et al.

Principled Architecture-aware Scaling of Hyperparameters

Wuyang Chen, Junru Wu, Zhangyang Wang et al.

Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training

Tehila Dahan, Kfir Levy

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric

Daniel Severo, Lucas Theis, Johannes Ballé

Oracle Efficient Algorithms for Groupwise Regret

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

Classification with Conceptual Safeguards

Hailey Joren, Charles Marx, Berk Ustun

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

Naiyu Yin, Tian Gao, Yue Yu et al.

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms

Bowen Jing, Tommi Jaakkola, Bonnie Berger

Novel View Synthesis with View-Dependent Effects from a Single Image

Juan Luis Gonzalez Bello, Munchurl Kim

An Unsupervised Approach for Periodic Source Detection in Time Series

Berken Utku Demirel, Christian Holz

H-V2X: A Large Scale Highway Dataset for BEV Perception

Chang Liu, MingXu zhu, Cong Ma

Learning with Unmasked Tokens Drives Stronger Vision Learners

Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.

Learned HDR Image Compression for Perceptually Optimal Storage and Display

Peibei Cao, HAOYU CHEN, Jingzhe Ma et al.

Light-in-Flight for a World-in-Motion

Jongho Lee, Ryan J Suess, Mohit Gupta

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

Shengcao Cao, Jiuxiang Gu, Jason Kuen et al.

Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction

Riccardo De Santi, Federico Arangath Joseph, Noah Liniger et al.

Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning

Takayuki Osa, Tatsuya Harada

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Juntao Dai, Yaodong Yang, Qian Zheng et al.

Learning to Count without Annotations

Lukas Knobel, Tengda Han, Yuki Asano

Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling

Mingze Wang, Zeping Min, Lei Wu

Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis

Daniel Csillag, Claudio Struchiner, Guilherme Goedert

Bayesian Evidential Deep Learning for Online Action Detection

Hongji Guo, Hanjing Wang, Qiang Ji

WindPoly: Polygonal Mesh Reconstruction via Winding Numbers

Xin He, Chenlei Lyu, Pengdi Huang et al.

Spectrally Transformed Kernel Regression

Runtian Zhai, Rattana Pukdee, Roger Jin et al.

On the Topology Awareness and Generalization Performance of Graph Neural Networks

Junwei Su, Chuan Wu

ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis

Jungil Kong, Junmo Lee, Jeongmin Kim et al.

PolarMatte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting

Kenji Enomoto, TJ Rhodes, Brian Price et al.

VideoClusterNet: Self-Supervised and Adaptive Face Clustering for Videos

Devesh Bilwakumar Walawalkar, Pablo Garrido