Most Cited 2024 "gradient quantization" Papers

Neural Time

Reversed Generalized Riccati Equation

EAFormer: Scene Text Segmentation with Edge-Aware Transformers

Haiyang Yu, Teng Fu, Bin Li et al.

SimCS: Simulation for Domain Incremental Online Continual Segmentation

Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning

Haozhe Jiang, Qiwen Cui, Zhihan Xiong et al.

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks

Elad Hirsch, Gefen Dawidowicz, Ayellet Tal

Prompt Sketching for Large Language Models

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

Two-Stage Active Learning for Efficient Temporal Action Segmentation

Yuhao Su, Ehsan Elhamifar

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

Sangjun Park, JinYeong Bak

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering

Shaowei Wang, Lingling Zhang, Longji Zhu et al.

$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts

Guanjie Chen, Xinyu Zhao, Tianlong Chen et al.

Improving Transformers with Dynamically Composable Multi-Head Attention

Da Xiao, Qingye Meng, Shengping Li et al.

Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination

Yunan LI, Yihao Zhang, Shoude Li et al.

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences

Seungwook Kim, Kejie Li, Xueqing Deng et al.

Learning to Produce Semi-dense Correspondences for Visual Localization

Khang Truong Giang, Soohwan Song, Sungho Jo

Weak-to-Strong 3D Object Detection with X-Ray Distillation

Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin et al.

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian Bors

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

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

Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification

Cheng-Chang Tsai, Yuan-Chih Chen, Chun-Shien Lu

Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching

Dongliang Cao, Zorah Laehner, Florian Bernard

Cross-view and Cross-pose Completion for 3D Human Understanding

Matthieu Armando, Salma Galaaoui, Fabien Baradel et al.

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks

Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann et al.

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

Tianshu Chu, Dachuan Xu, Wei Yao et al.

Quantifying the Plausibility of Context Reliance in Neural Machine Translation

Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim et al.

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis

Pavlo Melnyk, Andreas Robinson, Michael Felsberg et al.

Six-Point Method for Multi-Camera Systems with Reduced Solution Space

Banglei Guan, Ji Zhao, Laurent Kneip

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection

Yongwei Nie, Hao Huang, Chengjiang Long et al.

Mind Artist: Creating Artistic Snapshots with Human Thought

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight

Jiacheng Guo, Minshuo Chen, Huan Wang et al.

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

MoonJeong Park, Jaeseung Heo, Dongwoo Kim

Dynamic Correlation Clustering in Sublinear Update Time

Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori et al.

S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

Xingyi Li, Zhiguo Cao, Yizheng Wu et al.

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

Brian Chen, Tianyang Hu, Hui Jin et al.

Noise-assisted Prompt Learning for Image Forgery Detection and Localization

Dong Li, Jiaying Zhu, Xueyang Fu et al.

De-confounded Gaze Estimation

Ziyang Liang, Yiwei Bao, Feng Lu

Reinforcement Symbolic Regression Machine

Yilong Xu, Yang Liu, Hao Sun

Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging

In Cho, Hyunbo Shim, Seon Joo Kim

MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps

Jianhao Zheng, Daniel Barath, Marc Pollefeys et al.

Provably Better Explanations with Optimized Aggregation of Feature Attributions

Thomas Decker, Ananta Bhattarai, Jindong Gu et al.

Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou et al.

Learning to Solve Bilevel Programs with Binary Tender

Bo Zhou, Ruiwei Jiang, Siqian Shen

Efficient Multitask Dense Predictor via Binarization

Yuzhang Shang, Dan Xu, Gaowen Liu et al.

Revisiting Context Aggregation for Image Matting

Qinglin Liu, Xiaoqian Lv, Quanling Meng et al.

PEGASUS: Personalized Generative 3D Avatars with Composable Attributes

Hyunsoo Cha, Byungjun Kim, Hanbyul Joo

Modeling Continuous Motion for 3D Point Cloud Object Tracking

Zhipeng Luo, Gongjie Zhang, Changqing Zhou et al.

Racing Control Variable Genetic Programming for Symbolic Regression

Nan Jiang, Yexiang Xue

Minimizing $f$-Divergences by Interpolating Velocity Fields

Song Liu, Jiahao Yu, Jack Simons et al.

In-Context Matting

He Guo, Zixuan Ye, Zhiguo Cao et al.

LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset

Haolin Liu, Chongjie Ye, Yinyu Nie et al.

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization

Yao Ni, Piotr Koniusz

This Probably Looks Exactly Like That: An Invertible Prototypical Network

Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre et al.

Robot Fleet Learning via Policy Merging

Lirui Wang, Kaiqing Zhang, Allan Zhou et al.

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization

Zhengyang Hu, Song Kang, Qunsong Zeng et al.

Aligning Transformers with Weisfeiler-Leman

Luis Müller, Christopher Morris

Unsupervised Template-assisted Point Cloud Shape Correspondence Network

Jiacheng Deng, Jiahao Lu, Tianzhu Zhang

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

Pierre Mergny, Justin Ko, FLORENT KRZAKALA

Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model

Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong et al.

Impact of Decentralized Learning on Player Utilities in Stackelberg Games

Kate Donahue, Nicole Immorlica, Meena Jagadeesan et al.

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

Chung-En Sun, Sicun Gao, Lily Weng

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing

Vincent Grari, Thibault Laugel, Tatsunori Hashimoto et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement

Qimin Chen, Zhiqin Chen, Vladimir Kim et al.

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm et al.

Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation

Rong Wang, Wei Mao, Changsheng Lu et al.

Sharpness-Aware Data Generation for Zero-shot Quantization

Hoang Dung, Cuong Pham, Trung Le et al.

Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation

Benjamin Dupuis, Umut Simsekli

Boosting Residual Networks with Group Knowledge

Shengji Tang, Peng Ye, Baopu Li et al.

Fast Hyperboloid Decision Tree Algorithms

Philippe Chlenski, Ethan Turok, Antonio Moretti 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

Scores for Learning Discrete Causal Graphs with Unobserved Confounders

Alexis Bellot, Junzhe Zhang, Elias Bareinboim

Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions

Yihao Ai, Yifei Qi, Bo Wang et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Distributionally Robust Optimization with Bias and Variance Reduction

Ronak Mehta, Vincent Roulet, Krishna Pillutla et al.

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Rene Winchenbach, Nils Thuerey

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang et al.

Causal Effect Identification in LiNGAM Models with Latent Confounders

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

Quanta Video Restoration

PRATEEK CHENNURI, Yiheng Chi, Enze Jiang et al.

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

Randall Balestriero, Romain Cosentino, Sarath Shekkizhar

First-Order Manifold Data Augmentation for Regression Learning

Ilya Kaufman, Omri Azencot

DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quetu, Enzo Tartaglione

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn et al.

Feature Collapse

Thomas Laurent, James von Brecht, Xavier Bresson

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis

Atefeh Khoshkhahtinat, Ali Zafari, Piyush Mehta et al.

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning

Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models

Ludwig Winkler, Lorenz Richter, Manfred Opper

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Perez et al.

Extracting Training Data From Document-Based VQA Models

Francesco Pinto, Nathalie Rauschmayr, Florian Tramer et al.

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

Shengqi Xu, Run Sun, Yi Chang et al.

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yujun Chen, Xin Tan, Zhizhong Zhang et al.

Spatial Voting with Incomplete Voter Information

Aviram Imber, Jonas Israel, Markus Brill et al.

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

Minyeong Park, Jae-Ho Lee, Gyeong-Moon Park

The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing

Blaise Delattre, Alexandre Araujo, Quentin Barthélemy et al.

ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models

Meng-Li Shih, Wei-Chiu Ma, Lorenzo Boyice et al.

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations

Yujee Song, Donghyun LEE, Rui Meng et al.

Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture

Xuanchen Li, Yuhao Cheng, Xingyu Ren et al.

All Beings Are Equal in Open Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions

Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi et al.

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

Chaoya Jiang, Wei Ye, Haiyang Xu et al.

Self-Supervised Dataset Distillation for Transfer Learning

Dong Bok Lee, Seanie Lee, Joonho Ko et al.

Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning

Vivienne Wang, Tinghuai Wang, wenyan yang et al.

Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo

Fengan Zhao, Qianang Zhou, Junlin Xiong

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

In defense of parameter sharing for model-compression

Aditya Desai, Anshumali Shrivastava

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi ZHANG, Yunfei Gong, Daijie Chen et al.

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning

Artemis Panagopoulou, Le Xue, Ning Yu et al.

Operational Open-Set Recognition and PostMax Refinement

Steve Cruz, Ryan Rabinowitz, Manuel Günther et al.

Stochastic Weakly Convex Optimization beyond Lipschitz Continuity

Wenzhi Gao, Qi Deng

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

Changbin Li, Kangshuo Li, Yuzhe Ou et al.

Position: The Causal Revolution Needs Scientific Pragmatism

Joshua Loftus

Adaptive Multi-task Learning for Few-shot Object Detection

Yan Ren, Yanling Li, Wai-Kin Adams Kong

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Differentially Private Worst-group Risk Minimization

Xinyu Zhou, Raef Bassily

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

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

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

Yunsheng Tian, Ane Zuniga, Xinwei Zhang et al.

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu et al.

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

Vincent Leroy, Jerome Revaud, Thomas Lucas et al.

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

Yucheng Han, Na Zhao, Weiling Chen et al.

ADMap: Anti-disturbance Framework for Vectorized HD Map Construction

Haotian Hu, Fanyi Wang, Yaonong Wang et al.

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization

Avrajit Ghosh, Xitong Zhang, Kenneth Sun et al.

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

Lars Veefkind, Gabriele Cesa

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow

Hanyu Zhou, Yi Chang, Haoyue Liu et al.

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs

Yuzhen Mao, Martin Ester, Ke Li

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni et al.

Unbiased Estimator for Distorted Conics in Camera Calibration

Chaehyeon Song, Jaeho Shin, Myung-Hwan Jeon et al.

A differentiable brain simulator bridging brain simulation and brain-inspired computing

Chaoming Wang, Tianqiu Zhang, Sichao He et al.

AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation

Jiannan Ge, Lingxi Xie, Hongtao Xie et al.

STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning

Hao CHENG, SIYUAN YANG, Chong Wang et al.

Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming

Hany Hamed, Subin Kim, Dongyeong Kim et al.

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory

Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.

Scene-aware Human Motion Forecasting via Mutual Distance Prediction

Chaoyue Xing, Wei Mao, Miaomiao LIU

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition

Kyle Buettner, Sina Malakouti, Xiang Li et al.

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong et al.

A General Framework for Sequential Decision-Making under Adaptivity Constraints

Nuoya Xiong, Zhaoran Wang, Zhuoran Yang

TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision

Zhuo Chen, Jacob McCarran, Esteban Vizcaino et al.

PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

Renjie Lu, Jing-Ke Meng, WEISHI ZHENG

PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training

SUYI CHEN, Hao Xu, Haipeng Li et al.

Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching

Matteo Bastico, Etienne Decencière, Laurent Corté et al.

Structure Your Data: Towards Semantic Graph Counterfactuals

Angeliki Dimitriou, Maria Lymperaiou, Giorgos Filandrianos et al.

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

Yeongtak Oh, Jonghyun Lee, Jooyoung Choi et al.

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo

Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman

Event Trojan: Asynchronous Event-based Backdoor Attacks

Ruofei Wang, Qing Guo, Haoliang Li et al.

UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework

Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker

HARIVO: Harnessing Text-to-Image Models for Video Generation

Mingi Kwon, Seoung Wug Oh, Yang Zhou et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios

Improving image synthesis with diffusion-negative sampling

Alakh Desai, Nuno Vasconcelos

A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network

Ruichen Ma, Guanchao Qiao, Yian Liu et al.

Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving

Yixuan Fan, Ya-Li Li, Shengjin Wang

Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs

Sara Ahmadian, Edith Cohen

Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu et al.

UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs

Xi Han, Fei Hou, Hong Qin

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction

Lin Zhu, Yunlong Zheng, Yijun Zhang et al.

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

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models

Qingyi Liu, Jinghui Qin, Wenxuan Ye et al.

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

Kailin Li, Lixin Yang, Zenan Lin et al.

COPAL: Continual Pruning in Large Language Generative Models

Srikanth Malla, Joon Hee Choi, Chiho Choi

Revisiting Character-level Adversarial Attacks for Language Models

Elias Abad Rocamora, Yongtao Wu, Fanghui Liu et al.

Towards Making Learnware Specification and Market Evolvable

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

Time Fairness in Online Knapsack Problems

Adam Lechowicz, Rik Sengupta, Bo Sun et al.

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Zhecheng Sheng, Tianhao Zhang, Chen Jiang et al.

Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models

MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin et al.

Delving Deep into Engagement Prediction of Short Videos

dasong Li, Wenjie Li, Baili Lu et al.

Equilibrium of Data Markets with Externality

Safwan Hossain, Yiling Chen

STAS: Spatial-Temporal Return Decomposition for Multi-Agent Reinforcement Learning

Sirui Chen, Zhaowei Zhang, Yaodong Yang 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.

Semantic-Aware Multi-Label Adversarial Attacks

Hassan Mahmood, Ehsan Elhamifar

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception

Kai Jiang, Jiaxing Huang, Weiying Xie et al.

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians

Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos et al.

Better Regression Makes Better Test-time Adaptive 3D Object Detection

Jiakang Yuan, Bo Zhang, Kaixiong Gong et al.

Prompt Augmentation for Self-supervised Text-guided Image Manipulation

Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim

VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition

Ahmad Khaliq, Ming Xu, Stephen Hausler et al.

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li et al.

ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency

Shaocheng Yan, Pengcheng Shi, Jiayuan Li

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data

Shikai Fang, Xin Yu, Zheng Wang et al.

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

Mirco Mutti, Riccardo De Santi, Marcello Restelli et al.

Exploring the Benefit of Activation Sparsity in Pre-training

Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin et al.

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

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem et al.

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning

Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi et al.

CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection

Jinhao Deng, Wei Ye, Hai Wu et al.

A Unified Framework for Human-centric Point Cloud Video Understanding

Yiteng Xu, Kecheng Ye, xiao han et al.

Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields

Tianqi Liu, Xinyi Ye, Min Shi et al.

RCL: Reliable Continual Learning for Unified Failure Detection

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

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf et al.

Consistent algorithms for multi-label classification with macro-at-$k$ metrics

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch et al.

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang HE, Yuan Zhou et al.

Language-conditioned Detection Transformer

Jang Hyun Cho, Philipp Krähenbühl

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining

Qi Zhang, Tianqi Du, Haotian Huang et al.

Entropy Induced Pruning Framework for Convolutional Neural Networks

Yiheng Lu, Ziyu Guan, Yaming Yang et al.

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers

Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba