Most Cited 2024 "cluster-directed mixed graphs" Papers

Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates

Nicholas Corrado, Josiah Hanna

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.

A Mutual Information Perspective on Federated Contrastive Learning

Christos Louizos, Matthias Reisser, Denis Korzhenkov

Efficient Multitask Dense Predictor via Binarization

Yuzhang Shang, Dan Xu, Gaowen Liu et al.

Reconciling Spatial and Temporal Abstractions for Goal Representation

Mehdi Zadem, Sergio Mover, Sao Mai Nguyen

Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic

Xiaoxiao Sun, Yue Yao, Shengjin Wang et al.

LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement

Ye Yu, Fengxin Chen, Jun Yu et al.

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

Sanghyun Jo, Fei Pan, In-Jae Yu et al.

Geometry Fidelity for Spherical Images

Anders Christensen, Nooshin Mojab, Khushman Patel et al.

Analyzing and Improving Optimal-Transport-based Adversarial Networks

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

Ruiquan Huang, Yingbin Liang, Jing Yang

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains

Yimu Wang, Yihan Wu, Hongyang Zhang

Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort

Jeeyung Kim, Ze Wang, Qiang Qiu

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli et al.

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu et al.

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

Yang Yang, Wenhai Wang, Zhe Chen et al.

Towards Meta-Pruning via Optimal Transport

Alexander Theus, Olin Geimer, Friedrich Wicke et al.

RCL: Reliable Continual Learning for Unified Failure Detection

Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Kailin Li, Lixin Yang, Zenan Lin et al.

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Chang et al.

Annealing Self-Distillation Rectification Improves Adversarial Training

Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen

LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang

Yuqing Zhang, Hangqi Li, Shengyu Zhang et al.

G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images

Zixiong Huang, Qi Chen, Libo Sun et al.

Dynamic Budget Throttling in Repeated Second-Price Auctions

Zhaohua Chen, Chang Wang, Qian Wang et al.

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Zhecheng Sheng, Tianhao Zhang, Chen Jiang et al.

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training

Chaoya Jiang, Wei Ye, Haiyang Xu et al.

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem et al.

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data

Shikai Fang, Xin Yu, Zheng Wang et al.

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin et al.

3D-Aware Face Editing via Warping-Guided Latent Direction Learning

Yuhao Cheng, Zhuo Chen, Xingyu Ren et al.

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model

Shunsuke Horii, Yoichi Chikahara

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang, Wonseok Roh, Sujin Jang et al.

Combining Frame and GOP Embeddings for Neural Video Representation

Jens Eirik Saethre, Roberto Azevedo, Christopher Schroers

Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

Brian Isaac Medina, Yona Falinie Abdul Gaus, Neelanjan Bhowmik et al.

High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering

Xin Ming, Jiawei Li, Jingwang Ling et al.

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression

Animesh Sinha, Bo Sun, Anmol Kalia et al.

Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation

Seongsu Ha, Chaeyun Kim, Donghwa Kim et al.

DEVIAS: Learning Disentangled Video Representations of Action and Scene

Kyungho Bae, Youngrae Kim, Geo Ahn et al.

Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina Hoffmann

Win-Win: Training High-Resolution Vision Transformers from Two Windows

Vincent Leroy, Jerome Revaud, Thomas Lucas et al.

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

Investigating Style Similarity in Diffusion Models

Gowthami Somepalli, Anubhav Anubhav, Kamal Gupta et al.

Distributionally Robust Optimization with Bias and Variance Reduction

Ronak Mehta, Vincent Roulet, Krishna Pillutla et al.

Fast Hyperboloid Decision Tree Algorithms

Philippe Chlenski, Ethan Turok, Antonio Moretti et al.

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing

Haoran Li, Long Ma, Haolin Shi et al.

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing

Vincent Grari, Thibault Laugel, Tatsunori Hashimoto et al.

CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images

Changsheng Chen, Liangwei Lin, Yongqi Chen et al.

Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii et al.

Learning to Solve Bilevel Programs with Binary Tender

Bo Zhou, Ruiwei Jiang, Siqian Shen

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation

ChenChen Zong, Ye-Wen Wang, Kun-Peng Ning et al.

Aligning Transformers with Weisfeiler-Leman

Luis Müller, Christopher Morris

Prompt Sketching for Large Language Models

Luca Beurer-Kellner, Mark Müller, Marc Fischer et al.

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery

Fateme Jamshidi, Luca Ganassali, Negar Kiyavash

Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture

Sangjun Park, JinYeong Bak

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models

Pierre Mergny, Justin Ko, FLORENT KRZAKALA

Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning

Vivienne Wang, Tinghuai Wang, wenyan yang et al.

Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents

Chung-En Sun, Sicun Gao, Lily Weng

ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data

Carmen Martin-Turrero, Maxence Bouvier, Manuel Breitenstein et al.

Structure Your Data: Towards Semantic Graph Counterfactuals

Angeliki Dimitriou, Maria Lymperaiou, Giorgos Filandrianos et al.

Improving Transformers with Dynamically Composable Multi-Head Attention

Da Xiao, Qingye Meng, Shengping Li et al.

A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces

Tobia Boschi, FRANCESCA BONIN, Rodrigo Ordonez-Hurtado et al.

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

Neta Shaul, Uriel Singer, Ricky T. Q. Chen et al.

Error Feedback Can Accurately Compress Preconditioners

Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic et al.

Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold

Tingting Dan, Ziquan Wei, Won Hwa Kim et al.

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong et al.

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

Randall Balestriero, Romain Cosentino, Sarath Shekkizhar

Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance

Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan et al.

First-Order Manifold Data Augmentation for Regression Learning

Ilya Kaufman, Omri Azencot

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)

Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani et al.

A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs

Lars Veefkind, Gabriele Cesa

Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition

Michael Valancius, Maxwell Lennon, Junier Oliva

Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers

Brian Chen, Tianyang Hu, Hui Jin et al.

Causal Effect Identification in LiNGAM Models with Latent Confounders

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar et al.

Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence

Ganzhao Yuan

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

MoonJeong Park, Jaeseung Heo, Dongwoo Kim

Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction

Undral Byambadalai, Tatsushi Oka, Shota Yasui

Representing Molecules as Random Walks Over Interpretable Grammars

Michael Sun, Minghao Guo, Weize Yuan et al.

SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity

Tianshu Chu, Dachuan Xu, Wei Yao et al.

Differentially Private Worst-group Risk Minimization

Xinyu Zhou, Raef Bassily

Learning from Integral Losses in Physics Informed Neural Networks

Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

Seojin Kim, Jaehyun Nam, Sihyun Yu et al.

Optimization without Retraction on the Random Generalized Stiefel Manifold

Simon Vary, Pierre Ablin, Bin Gao et al.

Stochastic positional embeddings improve masked image modeling

Amir Bar, Florian Bordes, Assaf Shocher et al.

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views

Yuji Roh, Qingyun Liu, Huan Gui et al.

Confidence Aware Inverse Constrained Reinforcement Learning

Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi et al.

Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization

Qiang Fu, Ashia Wilson

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization

Yexin Zhang, Chenyi Zhang, Cong Fang et al.

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Sungmin Cha, Kyunghyun Cho, Taesup Moon

Amortizing Pragmatic Program Synthesis with Rankings

Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam et al.

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss

Zhenlong Liu, Lei Feng, HUIPING ZHUANG et al.

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers

Ron Dorfman, Naseem Yehya, Kfir Levy

Incremental Topological Ordering and Cycle Detection with Predictions

Samuel McCauley, Benjamin Moseley, Aidin Niaparast et al.

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources

Sikha Pentyala, Mayana Pereira, Martine De Cock

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Gaurav Pandey, Yatin Nandwani, Tahira Naseem et al.

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning

Junnan Liu, Qianren Mao, Weifeng Jiang et al.

Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity

Marta Catalano, Hugo Lavenant

Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping

Ben Lonnqvist, Zhengqing Wu, Michael Herzog

Conditional Language Learning with Context

Xiao Zhang, Miao Li, Ji Wu

PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling

Utsav Singh, Wesley A. Suttle, Brian Sadler et al.

Position: Embracing Negative Results in Machine Learning

Florian Karl, Malte Kemeter, Gabriel Dax et al.

Differentiable Combinatorial Scheduling at Scale

Mingju Liu, Yingjie Li, Jiaqi Yin et al.

Major-Minor Mean Field Multi-Agent Reinforcement Learning

Kai Cui, Christian Fabian, Anam Tahir et al.

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback

Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.

Contextual Feature Selection with Conditional Stochastic Gates

Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz et al.

Probabilistic Constrained Reinforcement Learning with Formal Interpretability

YANRAN WANG, QIUCHEN QIAN, David Boyle

Optimistic Multi-Agent Policy Gradient

Wenshuai Zhao, Yi Zhao, Zhiyuan Li et al.

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning

Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee et al.

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization

Lukas Gruber, Markus Holzleitner, Johannes Lehner et al.

Fast Peer Adaptation with Context-aware Exploration

Long Ma, Yuanfei Wang, Fangwei Zhong et al.

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning

Yizhe Huang, Anji Liu, Fanqi Kong et al.

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling

Yuxuan Yin, Yu Wang, Peng Li

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Yuyang Zhang, Shahriar Talebi, Na Li

Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique

TaeHo Yoon, Jaeyeon (Jay) Kim, Jaewook Suh et al.

Unleashing Network Potentials for Semantic Scene Completion

Fengyun Wang, Qianru Sun, Dong Zhang et al.

Cross-Domain Learning for Video Anomaly Detection with Limited Supervision

Yashika Jain, Ali Dabouei, Min Xu

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning

Shengzhong Zhang, Wenjie Yang, Xinyuan Cao et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference

Alind Khare, Animesh Agrawal, Aditya Annavajjala et al.

Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization

Jooyeol Yun, Choo Jaegul

Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence

Sascha Xu, Nils Philipp Walter, Janis Kalofolias et al.

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization

Dongping Liao, Xitong Gao, Chengzhong Xu

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual

Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.

Robust Self-calibration of Focal Lengths from the Fundamental Matrix

Viktor Kocur, Daniel Kyselica, Zuzana Kukelova

TPA3D: Triplane Attention for Fast Text-to-3D Generation

Bin-Shih Wu, HONG-EN CHEN, Sheng-Yu Huang et al.

Learning Latent Space Hierarchical EBM Diffusion Models

Jiali Cui, Tian Han

Seeing Faces in Things: A Model and Dataset for Pareidolia

Mark T Hamilton, Simon Stent, Vasha G DuTell et al.

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond

Silvio Galesso, Philipp Schröppel, Hssan Driss et al.

Generalizable Face Landmarking Guided by Conditional Face Warping

Jiayi Liang, Haotian Liu, Hongteng Xu et al.

Learning to Approximate Adaptive Kernel Convolution on Graphs

Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.

Multi-group Learning for Hierarchical Groups

Samuel Deng, Daniel Hsu

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces

Omer Nahum, Gali Noti, David Parkes et al.

SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes

Soubhik Sanyal, Partha Ghosh, Jinlong Yang et al.

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi et al.

Towards Stable 3D Object Detection

Jiabao Wang, Qiang Meng, Guochao Liu et al.

Optimal Batched Linear Bandits

Xuanfei Ren, Tianyuan Jin, Pan Xu

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation

tianyu zhang, Guocheng Qian, Jin Xie et al.

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

Agneet Chatterjee, Tejas Gokhale, Chitta Baral et al.

XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold

Guangyu Wang, Jinzhi Zhang, Fan Wang et al.

Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems

Authors: Amit Jena, Dileep Kalathil, Le Xie

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning

Ray Zhang, Zheming Zhou, Min Sun et al.

On the Maximal Local Disparity of Fairness-Aware Classifiers

Jinqiu Jin, Haoxuan Li, Fuli Feng

StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN

Jongwoo Choi, Kwanggyoon Seo, Amirsaman Ashtari et al.

Harnessing Edge Information for Improved Robustness in Vision Transformers

Yanxi Li, Chengbin Du, Chang Xu

Pix2Gif: Motion-Guided Diffusion for GIF Generation

Hitesh Kandala, Jianfeng Gao, Jianwei Yang

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee

George Chen

Learned Scanpaths Aid Blind Panoramic Video Quality Assessment

Kanglong FAN, Wen Wen, Mu Li et al.

Intersectional Unfairness Discovery

Gezheng Xu, Qi CHEN, Charles X. Ling et al.

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search

Walter Gerych, Yara Rizk, Vatche Isahagian et al.

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations

Helen Qu, Sang Michael Xie

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

Keonhee Han, Dominik Muhle, Felix Wimbauer et al.

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Pengchong Qiao, Lei Shang, Chang Liu et al.

Masked AutoDecoder is Effective Multi-Task Vision Generalist

Han Qiu, Jiaxing Huang, Peng Gao et al.

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib et al.

Federated Neuro-Symbolic Learning

Pengwei Xing, Songtao Lu, Han Yu

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis

Dexu Kong, Anping Zhang, Yang Li

OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection

Changsheng Lu, Zheyuan Liu, Piotr Koniusz

Active Generation for Image Classification

Tao Huang, Jiaqi Liu, Shan You et al.

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations

Ze Cheng, Zhongkai Hao, Wang Xiaoqiang et al.

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks

Peishen Yan, Hao Wang, Tao Song et al.

FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition

Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization

Nayeong Kim, Juwon Kang, Sungsoo Ahn et al.

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation

Bangyan Liao, Zhenjun Zhao, Lu Chen et al.

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts

Yanting Yang, Minghao Chen, Qibo Qiu et al.

Chasing Convex Functions with Long-term Constraints

Adam Lechowicz, Nicolas Christianson, Bo Sun et al.

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

Zirui Shao, Feiyu Gao, Hangdi Xing et al.

EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset

Amy Zhao, Chengcheng Tang, Lezi Wang et al.

Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization

Qi Zhang, Kaiyi Zhang, Antoni Chan et al.

Learning to Navigate Efficiently and Precisely in Real Environments

Guillaume Bono, Hervé Poirier, Leonid Antsfeld et al.

Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions

Prajwal Gatti, Kshitij Parikh, Dhriti Paul et al.

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

Mingde Zhao, Safa Alver, Harm Seijen et al.

On The Fairness Impacts of Hardware Selection in Machine Learning

Sree Harsha Nelaturu, Nishaanth Kanna, Cuong Tran et al.

General Geometry-aware Weakly Supervised 3D Object Detection

Guowen Zhang, Junsong Fan, Liyi Chen et al.

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations

Jonas Beck, Nathanael Bosch, Michael Deistler et al.

Learning in reverse causal strategic environments with ramifications on two sided markets

Seamus Somerstep, Yuekai Sun, Yaacov Ritov

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification

Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.

Self-supervised Debiasing Using Low Rank Regularization

Geon Yeong Park, Chanyong Jung, Sangmin Lee et al.

On Interpolating Experts and Multi-Armed Bandits

Houshuang Chen, Yuchen He, Chihao Zhang

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

Rob Geada, David Towers, Matthew Forshaw et al.

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input

Andi Peng, Yuying Sun, Tianmin Shu et al.

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization

Xixu Hu, Runkai Zheng, Jindong Wang et al.

PICNN: A Pathway towards Interpretable Convolutional Neural Networks

Wengang Guo, Jiayi Yang, HuiLin YIN et al.

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

zhe zhao, Mengshi Qi, Huadong Ma

RPBG: Towards Robust Neural Point-based Graphics in the Wild

Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng et al.

Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising

JiaHua Xiao, Yang Liu, Xing Wei

Variational Inference with Coverage Guarantees in Simulation-Based Inference

Yash Patel, Declan McNamara, Jackson Loper et al.

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning

Yuhao Wu, Jiangchao Yao, Bo Han et al.