Most Cited 2024 "cluster-directed mixed graphs" Papers

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.

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.

UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation

Jinho Park, Se Young Chun, Mingoo Seok

Testing the Feasibility of Linear Programs with Bandit Feedback

Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama et al.

Retargeting Visual Data with Deformation Fields

Tim Elsner, Julia Berger, Tong Wu et al.

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

Wei Huang, Yilei Shi, Zhitong Xiong et al.

A Hierarchical Network for Multimodal Document-Level Relation Extraction

Lingxing Kong, Jiuliang Wang, Zheng Ma et al.

Explaining Probabilistic Models with Distributional Values

Luca Franceschi, Michele Donini, Cedric Archambeau et al.

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.

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

Eugene Valassakis, Guillermo Garcia-Hernando

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

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz et al.

Fast White-Box Adversarial Streaming Without a Random Oracle

Ying Feng, Aayush Jain, David Woodruff

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting

Jiaxu Wang, Zhang Ziyi, Junhao He 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.

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Benjamin Eyre, Elliot Creager, David Madras et al.

Straightforward Layer-wise Pruning for More Efficient Visual Adaptation

Ruizi Han, Jinglei Tang

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

Orcun Cetintas, Tim Meinhardt, Guillem Brasó et al.

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

Yuchen Yang, Yu Qiao, Xiao Sun

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

Dongyao Jiang, Hui Chen, Haodong Jing et al.

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

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories

Yan Zhang, Sergey Prokudin, Marko Mihajlovic et al.

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

On Inference Stability for Diffusion Models

Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.

Trust Regions for Explanations via Black-Box Probabilistic Certification

Amit Dhurandhar, Swagatam Haldar, Dennis Wei et al.

Towards a Density Preserving Objective Function for Learning on Point Sets

Haritha Jayasinghe, Ioannis Brilakis

Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation

Sangyeop Yeo, Yoojin Jang, Jaejun Yoo

An Unsupervised Approach for Periodic Source Detection in Time Series

Berken Utku Demirel, Christian Holz

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

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

HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation

WENCAN CHENG, Eun-Ji Kim, Jong Hwan Ko

Unraveling the Key Components of OOD Generalization via Diversification

Harold Benoit, Liangze Jiang, Andrei Atanov et al.

Affine steerers for structured keypoint description

Georg Bökman, Johan Edstedt, Michael Felsberg et al.

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

Xiaobin Huang, Lei Song, Ke Xue et al.

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Juntao Dai, Yaodong Yang, Qian Zheng et al.

Efficient NeRF Optimization - Not All Samples Remain Equally Hard

Juuso Korhonen, Goutham Rangu, Hamed Rezazadegan Tavakoli et al.

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data

Jialong Wu, Mirko Meuter, Markus Schoeler et al.

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

Daniel Csillag, Claudio Struchiner, Guilherme Goedert

UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation

Mengqi GUO, Chen Li, Hanlin Chen et al.

The Effectiveness of Random Forgetting for Robust Generalization

Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani

Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator

Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi et al.

Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network

Chenhao Zhang, WEI GAO

Towards Robust Learning to Optimize with Theoretical Guarantees

Qingyu Song, Wei Lin, Juncheng Wang et al.

Progressive Fourier Neural Representation for Sequential Video Compilation

Haeyong Kang, Jaehong Yoon, DaHyun Kim et al.

Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters

Brian Cho, Yaroslav Mukhin, Kyra Gan et al.

CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks

Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.

VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking

Jens Hellekes, Manuel Mühlhaus, Reza Bahmanyar et al.

SCOD: From Heuristics to Theory

Vojtech Franc, Jakub Paplham, Daniel Prusa

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

Yu Chen, XiangCheng Zhang, Siwei Wang et al.

Look Hear: Gaze Prediction for Speech-directed Human Attention

Sounak Mondal, Seoyoung Ahn, Zhibo Yang et al.

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes

Yingyi Chen, Qinghua Tao, Francesco Tonin et al.

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Yihang Chen, Fanghui Liu, Taiji Suzuki et al.

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

Juan Luis Gonzalez Bello, Munchurl Kim

Data Poisoning Quantization Backdoor Attack

Tran Huynh, Anh Tran, Khoa Doan et al.

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective

Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu et al.

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

Gustavo Perez, Daniel Sheldon, Grant Van Horn 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.

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

Serina Chang, Frederic Koehler, Zhaonan Qu et al.

Feature Importance Disparities for Data Bias Investigations

Peter Chang, Leor Fishman, Seth Neel

Feasibility Consistent Representation Learning for Safe Reinforcement Learning

Zhepeng Cen, Yihang Yao, Zuxin Liu et al.

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

Shengcao Cao, Jiuxiang Gu, Jason Kuen et al.

SonicVisionLM: Playing Sound with Vision Language Models

Zhifeng Xie, Shengye Yu, Qile He et al.

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples

Dake Bu, Wei Huang, Taiji Suzuki et al.

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

Rui Qin, Ming Sun, Chao Zhou et al.

Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering

Mitchell Black, Lucy Lin, Weng-Keen Wong et al.

Naive Bayes Classifiers over Missing Data: Decision and Poisoning

Song Bian, Xiating Ouyang, ZHIWEI FAN et al.

SNP: Structured Neuron-level Pruning to Preserve Attention Scores

Kyunghwan Shim, Jaewoong Yun, Shinkook Choi

Monotone Individual Fairness

Yahav Bechavod

Differentiable Display Photometric Stereo

Seokjun Choi, Seungwoo Yoon, Giljoo Nam et al.

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

A Rate-Distortion View of Uncertainty Quantification

Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen et al.

Motion Blur Decomposition with Cross-shutter Guidance

Xiang Ji, Haiyang Jiang, Yinqiang Zheng

DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS

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

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

No Dimensional Sampling Coresets for Classification

Meysam Alishahi, Jeff Phillips

LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System

Hongbeen Park, Minjeong Park, Giljoo Nam et al.

A General Search-Based Framework for Generating Textual Counterfactual Explanations

Daniel Gilo, Shaul Markovitch

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

Mijoo Kim, Junseok Kwon

MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition

Aggelina Chatziagapi, Grigorios Chrysos, Dimitris Samaras

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

Mohsen Gholami, Rabab Ward, Z. Jane Wang

Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling

Mingze Wang, Zeping Min, Lei Wu

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning

Donghu Kim, Hojoon Lee, Kyungmin Lee et al.

A3S: A General Active Clustering Method with Pairwise Constraints

Xun Deng, Junlong Liu, Han Zhong et al.

Structural Inference with Dynamics Encoding and Partial Correlation Coefficients

Aoran Wang, Jun Pang

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

Mattia Segu, Luigi Piccinelli, Siyuan Li et al.

Situated Instruction Following

So Yeon Min, Xavier Puig, Devendra Singh Chaplot et al.

A Differentially Private Clustering Algorithm for Well-Clustered Graphs

Weiqiang He, Hendrik Fichtenberger, Pan Peng

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests

Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami et al.

Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.

Simplicity Bias via Global Convergence of Sharpness Minimization

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

Batch Normalization Is Blind to the First and Second Derivatives of the Loss

Zhanpeng Zhou, Wen Shen, Huixin Chen et al.

Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance

Yufei Zhang, Jeffrey Kephart, Qiang Ji

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

Jiajie Fan, Amal Trigui, Thomas Bäck et al.

Few-shot Hybrid Domain Adaptation of Image Generator

Hengjia Li, Yang Liu, Linxuan Xia et al.

Uncertainty Visualization via Low-Dimensional Posterior Projections

Omer Yair, Tomer Michaeli, Elias Nehme

Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou, Bryan M. Williams, Hossein Rahmani

Sufficient conditions for offline reactivation in recurrent neural networks

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

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

Tom Fischer, Yaoyao Liu, Artur Jesslen et al.

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

Yeonsung Jung, Heecheol Yun, Joonhyung Park et al.

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring

Emanuele Santellani, Martin Zach, Christian Sormann et al.

Adversarial Attacks on Combinatorial Multi-Armed Bandits

Rishab Balasubramanian, Jiawei Li, Tadepalli Prasad et al.

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

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

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach

Christian Fabian, Kai Cui, Heinz Koeppl

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error

Haoran Li, Zicheng Zhang, Wang Luo et al.

Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation

Prantik Howlader, Hieu Le, Dimitris Samaras

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Jiahuan Wang, Hong Chen

DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration

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

Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation

Chongjie Si, Xuehui Wang, Xiaokang Yang et al.

Robust Universal Adversarial Perturbations

Changming Xu, Gagandeep Singh

McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction

Daxuan Ren, Hezi Shi, Jianmin Zheng et al.

Disentangled Generation and Aggregation for Robust Radiance Fields

Shihe Shen, Huachen Gao, Wangze Xu et al.

Online Temporal Action Localization with Memory-Augmented Transformer

Youngkil Song, Dongkeun Kim, Minsu Cho et al.

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

Cheng Gong, Yao Chen, Qiuyang Luo et al.

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation

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

Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling

Aadirupa Saha, Branislav Kveton

Procedural Fairness Through Decoupling Objectionable Data Generating Components

Zeyu Tang, Jialu Wang, Yang Liu et al.

FYI: Flip Your Images for Dataset Distillation

Byunggwan Son, Youngmin Oh, Donghyeon Baek et al.

Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction

Zijie Jiang, Tianhan Xu, Hiroharu Kato

State Representation Learning Using an Unbalanced Atlas

Li Meng, Morten Goodwin, Anis Yazidi et al.

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

Peng Wang, Zhaohai Li, Jun Tang et al.

Continuity Preserving Online CenterLine Graph Learning

Yunhui Han, Kun Yu, Zhiwei Li

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

Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models

Yangming Li, Boris van Breugel, Mihaela van der Schaar

Approximately Piecewise E(3) Equivariant Point Networks

Matan Atzmon, Jiahui Huang, Francis Williams et al.

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

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

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric

Daniel Severo, Lucas Theis, Johannes Ballé

CLEO: Continual Learning of Evolving Ontologies

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

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

Yufan LIAO, Qi Wu, Xing Yan

TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations

Bo Sun, Thibault Groueix, Chen Song et al.

Mathematical Framework for Online Social Media Auditing

Wasim Huleihel, Yehonathan Refael

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

Chengming Hu, Haolun Wu, Xuan Li et al.

SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization

Yiyang Chen, Siyan Dong, Xulong Wang et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Shifted Autoencoders for Point Annotation Restoration in Object Counting

Yuda Zou, Xin Xiao, Peilin Zhou et al.

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

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

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

Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms

Bowen Jing, Tommi Jaakkola, Bonnie Berger

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

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

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

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

Decodable and Sample Invariant Continuous Object Encoder

Dehao Yuan, Furong Huang, Cornelia Fermuller et al.

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model

Yang Jin, Lei Zhang, Shi Yan et al.

Zero-shot Text-guided Infinite Image Synthesis with LLM guidance

Soyeong Kwon, TAEGYEONG LEE, Taehwan Kim

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

Saptarshi Chakraborty, Peter Bartlett

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.

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

Jaehyeok Kim, Dongyoon Wee, Dan Xu

Perceptual Scales Predicted by Fisher Information Metrics

Jonathan Vacher, Pascal Mamassian

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

Yuyuan Liu, Yuanhong Chen, Hu Wang et al.

Vista3D: unravel the 3d darkside of a single image

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

Classification with Conceptual Safeguards

Hailey Joren, Charles Marx, Berk Ustun

Scene-Conditional 3D Object Stylization and Composition

Jinghao Zhou, Tomas Jakab, Philip Torr et al.

Hybrid Neural Representations for Spherical Data

Hyomin Kim, Yunhui Jang, Jaeho Lee et al.

Online Information Acquisition: Hiring Multiple Agents

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Xuechen Zhang, Mingchen Li, Jiasi Chen et al.

Similarity of Neural Architectures using Adversarial Attack Transferability

Jaehui Hwang, Dongyoon Han, Byeongho Heo et al.

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

Xiangming Zhu, Huayu Deng, Haochen Yuan et al.

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

Maximum Entropy Model Correction in Reinforcement Learning

Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.

GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images

Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel et al.

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

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

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving

Ding Qiuyu, Hailong Cao, Tiejun Zhao

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

Jian Li, Yong Liu, Weiping Wang

Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning

Rongjie Li, Yu Wu, Xuming He

Pantypes: Diverse Representatives for Self-Explainable Models

Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen

ActiveDC: Distribution Calibration for Active Finetuning

Wenshuai Xu, Zhenghui Hu, Yu Lu et al.

Identifying Important Group of Pixels using Interactions

Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding

Zhiqiang Chen, Yang Chen, xiaolong Zou et al.

Self-Supervised Dual Contouring

Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network

Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

Naiyu Yin, Tian Gao, Yue Yu et al.

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients

Woo Kyoung Han, Sunghoon Im, Jaedeok Kim et al.

Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion

Su Sun, Cheng Zhao, Yuliang Guo et al.

Lookbehind-SAM: k steps back, 1 step forward

Gonçalo Mordido, Pranshu Malviya, Aristide Baratin et al.

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

Christian Muise, Sheila McIlraith, J. Christopher Beck

Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields

Joshua Ahn, Haochen Wang, Raymond A. Yeh et al.

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

Peiyu Yang, Naveed Akhtar, Shah Mubarak et al.

TETRIS: Towards Exploring the Robustness of Interactive Segmentation

Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova 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.

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Lin Chen, Zhijie Jia, Lechao Cheng et al.

Fast Sprite Decomposition from Animated Graphics

Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning

Jeongheon Oh, Kibok Lee

Causal Strategic Learning with Competitive Selection

Learning to Count without Annotations

Lukas Knobel, Tengda Han, Yuki Asano

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

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

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

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

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

Sean Lamont, Michael Norrish, Amir Dezfouli et al.

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

Songtuan Lin, Conny Olz, Malte Helmert et al.

Engineering an Exact Pseudo-Boolean Model Counter

Suwei Yang, Kuldeep S Meel

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

Yunqian Fan, Xiuying Wei, Ruihao Gong et al.

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields

Yiyu Zhuang, Qi Zhang, Xuan Wang et al.

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes 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.

Statistical Spatially Inhomogeneous Diffusion Inference

Yinuo Ren, Yiping Lu, Lexing Ying et al.

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

Zhijian Liu, Zhuoyang Zhang, Samir Khaki et al.

Pick-or-Mix: Dynamic Channel Sampling for ConvNets

Ashish Kumar, Daneul Kim, Jaesik Park et al.

Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation

chenhao li, Trung Thanh Ngo, Hajime Nagahara

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

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