Most Cited 2024 "node embedding fusion" Papers
12,324 papers found • Page 41 of 62
Conference
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
Francesco Di Sario, Riccardo Renzulli, Marco Grangetto et al.
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset
Trung Dao, Duc H Vu, Cuong Pham et al.
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan et al.
Amortizing Pragmatic Program Synthesis with Rankings
Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam et al.
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
Honghao Xu, Juzhan Xu, Zeyu Huang et al.
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
Jongwoo Choi, Kwanggyoon Seo, Amirsaman Ashtari et al.
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
Yang YU, Danruo Deng, Furui Liu et al.
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Clergerie, Benoît Sagot
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
Marina Neseem, Conor McCullough, Randy Hsin et al.
Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising
JiaHua Xiao, Yang Liu, Xing Wei
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, HUIPING ZHUANG et al.
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong, Qi Dou, Farzan Farnia
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
Shenghe Zheng, Hongzhi Wang, Tianyu Mu
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
Sascha Xu, Nils Philipp Walter, Janis Kalofolias et al.
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
Joongkyu Lee, Min-hwan Oh
General Geometry-aware Weakly Supervised 3D Object Detection
Guowen Zhang, Junsong Fan, Liyi Chen et al.
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen, Huanrui Yang, Yulu Gan et al.
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati, Minh Pham, Nasla Saleem et al.
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, HuiLin YIN et al.
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
Yansheng Li, Tingzhu Wang, Kang Wu et al.
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation
Chaowei Fang, Ziyin Zhou, Junye Chen et al.
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
Junxiong Lin, Yan Wang, Zeng Tao 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.
Low-Latency Neural Stereo Streaming
Qiqi Hou, Farzad Farhadzadeh, Amir Said et al.
ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
Habib Slim, Mohamed Elhoseiny
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
Soubhik Sanyal, Partha Ghosh, Jinlong Yang et al.
Neural Metamorphosis
Xingyi Yang, Xinchao Wang
Incremental Topological Ordering and Cycle Detection with Predictions
Samuel McCauley, Benjamin Moseley, Aidin Niaparast et al.
Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition
Qi Rao, Ke Sun, Xiaohan Wang et al.
How to Make Knockout Tournaments More Popular?
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
Intersectional Unfairness Discovery
Gezheng Xu, Qi CHEN, Charles X. Ling et al.
Commonsense for Zero-Shot Natural Language Video Localization
Meghana Holla, Ismini Lourentzou
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
Haizhong Zheng, Jiachen Sun, Shutong Wu et al.
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
Hao Luo, Bohan Zhou, Zongqing Lu
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
Jiayi Li, Xi-Le Zhao, Jian-Li Wang et al.
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection
Dongkwon Jin, Chang-Su Kim
Federated Neuro-Symbolic Learning
Pengwei Xing, Songtao Lu, Han Yu
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang, Zhen Lin, Jimeng Sun et al.
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
Prajwal Gatti, Kshitij Parikh, Dhriti Paul et al.
SpaCE: The Spatial Confounding Environment
Mauricio Tec, Ana Trisovic, Michelle Audirac et al.
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
Sikha Pentyala, Mayana Pereira, Martine De Cock
Stable Video Portraits
Mirela Ostrek, Justus Thies
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim, Seongwoong Cho, Semin Kim et al.
Demonstration-Regularized RL
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
Yufei Gu, Xiaoqing Zheng, Tomaso Aste
Visual Objectification in Films: Towards a New AI Task for Video Interpretation
Julie Tores, Lucile Sassatelli, Hui-Yin Wu et al.
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
Yi Yao, Chan-Feng Hsu, Jhe-Hao Lin et al.
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning
Zhengyi Fang, Yue Wang, Ran Yi et al.
Refined Characterizations of Approval-Based Committee Scoring Rules
Chris Dong, Patrick Lederer
RaFE: Generative Radiance Fields Restoration
Zhongkai Wu, Ziyu Wan, Jing Zhang et al.
Pre-training LiDAR-based 3D Object Detectors through Colorization
Tai-Yu Pan, Chenyang Ma, Tianle Chen et al.
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
8445 Wangkun Xu, Jianhong Wang, Fei Teng
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields
Haodi He, Colton Stearns, Adam Harley et al.
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion
Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia et al.
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen, Ruichu Cai, Zhengting Huang et al.
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib et al.
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen, Rizwan Ahmad, Phillip Schniter
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations
Christian Diller, Thomas Funkhouser, Angela Dai
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
Yanting Wang, Hongye Fu, Wei Zou et al.
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
Fan Shi, Bin Li, Xiangyang Xue
Projecting Trackable Thermal Patterns for Dynamic Computer Vision
Mark Sheinin, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
Shengjun Zhang, Xin Fei, Yueqi Duan
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
Cheng Sun, Wei-En Tai, Yu-Lin Shih et al.
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
Mathias Öttl, Frauke Wilm, Jana Steenpass et al.
Using My Artistic Style? You Must Obtain My Authorization
Xiuli Bi, Haowei Liu, Weisheng Li et al.
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
Bangyan Liao, Zhenjun Zhao, Lu Chen et al.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, S. Sekine, Mamoru Komachi
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari
Edit One for All: Interactive Batch Image Editing
Thao Nguyen, Utkarsh Ojha, Yuheng Li et al.
EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
Zitao Wang, Qiguang Miao, Yue Xi et al.
Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
Marta Catalano, Hugo Lavenant
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma, Yuee Zhou, Jianlun Ma et al.
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.
Estimating Shape Distances on Neural Representations with Limited Samples
Dean Pospisil, Brett Larsen, Sarah Harvey et al.
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu, Jiangchao Yao, Bo Han et al.
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Heng Dong, Junyu Zhang, Chongjie Zhang
Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover
Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono et al.
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Ben Lonnqvist, Zhengqing Wu, Michael Herzog
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
Anna Kukleva, Fadime Sener, Edoardo Remelli et al.
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
Xingrun Xing, Li Du, Xinyuan Wang et al.
Novel Class Discovery in Chest X-rays via Paired Images and Text
Jiaying Zhou, Yang Liu, Qingchao Chen
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
Kanglong FAN, Wen Wen, Mu Li et al.
Reliable Data Generation and Selection for Low-Resource Relation Extraction
Junjie Yu, Xing Wang, Wenliang Chen
Conditional Language Learning with Context
Xiao Zhang, Miao Li, Ji Wu
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
Feng Yu, Teng Zhang, Gilad Lerman
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang et al.
The Effective Horizon Explains Deep RL Performance in Stochastic Environments
Cassidy Laidlaw, Banghua Zhu, Stuart Russell et al.
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
Utsav Singh, Wesley A. Suttle, Brian Sadler et al.
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Anush Kumar, Fahim Mannan, Omid Hosseini Jafari et al.
Breaking through the learning plateaus of in-context learning in Transformer
Jingwen Fu, Tao Yang, Yuwang Wang et al.
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber, Markus Holzleitner, Johannes Lehner et al.
Learning to Navigate Efficiently and Precisely in Real Environments
Guillaume Bono, Hervé Poirier, Leonid Antsfeld et al.
Learning Real-World Image De-weathering with Imperfect Supervision
Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
Shangyu Wu, Ying Xiong, Yufei CUI et al.
Compact HD Map Construction via Douglas-Peucker Point Transformer
Ruixin Liu, Zejian Yuan
Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems
Evripidis Bampis, Bruno Escoffier, Michalis Xefteris
SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras
Yingqi Tang, Zhaotie Meng, Guoliang Chen et al.
Self-supervised Debiasing Using Low Rank Regularization
Geon Yeong Park, Chanyong Jung, Sangmin Lee et al.
Learning Group Activity Features Through Person Attribute Prediction
Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Authors: Amit Jena, Dileep Kalathil, Le Xie
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
Xu Yingjie, Bangzhen Liu, Hao Tang et al.
Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, Seunghyun Shin et al.
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Yuhao Yi, Ronghui You, Hong Liu et al.
A Policy Gradient Method for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu
Unknown Domain Inconsistency Minimization for Domain Generalization
Seungjae Shin, HeeSun Bae, Byeonghu Na et al.
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
Qi Zhang, Kaiyi Zhang, Antoni Chan et al.
A Fair Ranking and New Model for Panoptic Scene Graph Generation
Julian Lorenz, Alexander Pest, Daniel Kienzle et al.
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
Jinuk Kim, Marwa El Halabi, Mingi Ji et al.
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
Peishen Yan, Hao Wang, Tao Song et al.
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim, SEHYUN HWANG, Suha Kwak et al.
Learning Safe Action Models with Partial Observability
Hai Le, Brendan Juba, Roni Stern
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Mingde Zhao, Safa Alver, Harm Seijen et al.
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin, Lennart Svensson, Fredrik Kahl et al.
FaceLift: Semi-supervised 3D Facial Landmark Localization
David Ferman, Pablo Garrido, Gaurav Bharaj
NECA: Neural Customizable Human Avatar
Junjin Xiao, Qing Zhang, Zhan Xu et al.
OVMR: Open-Vocabulary Recognition with Multi-Modal References
Zehong Ma, Shiliang Zhang, Longhui Wei et al.
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
Changsheng Lu, Zheyuan Liu, Piotr Koniusz
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, JIanfeng Qu, Kexin Wang et al.
Position: Embracing Negative Results in Machine Learning
Florian Karl, Malte Kemeter, Gabriel Dax et al.
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gábor Csányi et al.
A General Implicit Framework for Fast NeRF Composition and Rendering
Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.
Structured Probabilistic Coding
Dou Hu, Lingwei Wei, Yaxin Liu et al.
Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
Sixing Wu, Jiong Yu, Jiahao Chen et al.
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Dongjun Gu, Jaehyeok Shim, Jaehoon Jang et al.
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
Hanfei Yu, Jian Li, Yang Hua et al.
Faithfulness Measurable Masked Language Models
Andreas Madsen, Siva Reddy, Sarath Chandar
Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen, Hao Tang, Ehsan Adeli et al.
Approximate Integer Solution Counts over Linear Arithmetic Constraints
Cunjing Ge
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control
Karim Kadry, Shreya Gupta, Jonas Sogbadji et al.
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
Alind Khare, Animesh Agrawal, Aditya Annavajjala et al.
Adaptive Instrument Design for Indirect Experiments
Yash Chandak, Shiv Shankar, Vasilis Syrgkanis et al.
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
Yuqi Zhang, Guanying Chen, Jiaxing Chen et al.
PMAC: Personalized Multi-Agent Communication
Xiangrui Meng, Ying Tan
Pi-DUAL: Using privileged information to distinguish clean from noisy labels
Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton et al.
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim, Juwon Kang, Sungsoo Ahn et al.
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Jieru Lin, Danqing Huang, Tiejun Zhao et al.
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
Zhili Chen, Shuangjie Xu, Maosheng Ye et al.
Open Ad Hoc Teamwork with Cooperative Game Theory
Jianhong Wang, Yang Li, Yuan Zhang et al.
Cached Transformers: Improving Transformers with Differentiable Memory Cached
Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
Wei Tan, Ngoc Dang Nguyen, Lan Du et al.
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
Mohammad Zohaib, Luca Cosmo, Alessio Del Bue
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
Agneet Chatterjee, Tejas Gokhale, Chitta Baral et al.
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu, Jiayun Wu, Tianyu Wang et al.
Symmetric Matrix Completion with ReLU Sampling
Huikang Liu, Peng Wang, Longxiu Huang et al.
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao, Kaixiong Zhou, Yili Wang et al.
On a Combinatorial Problem Arising in Machine Teaching
Joakim Sunde, Brigt Håvardstun, Jan Kratochvíl et al.
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
Muyao Niu, Tong Chen, Yifan Zhan et al.
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Hanmin Li, Avetik Karagulyan, Peter Richtarik
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
Weihan Li, Chengrui Li, Yule Wang et al.
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
Ang Li, Yichuan Mo, Mingjie Li et al.
Unsupervised Pretraining for Fact Verification by Language Model Distillation
Adrian Bazaga, Pietro Lio, Gos Micklem
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min, Rene Vidal
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
Sakib Reza, Yuexi Zhang, Mohsen Moghaddam et al.
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation
tianyu zhang, Guocheng Qian, Jin Xie et al.
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
Jin Wang, Shichao Dong, Yapeng Zhu et al.
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong et al.
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Kang Liu
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation
Yuxiang WEI, Zhilong Ji, Jinfeng Bai et al.
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Silvio Galesso, Philipp Schröppel, Hssan Driss et al.
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.
Envy-Free House Allocation under Uncertain Preferences
Haris Aziz, Isaiah Iliffe, Bo Li et al.
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
ZERUN WANG, Liuyu Xiang, Lang Huang et al.
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba, Xuan Liu, Xinning Chen et al.
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang, Anji Liu, Fanqi Kong et al.
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution
Zhiheng Li, Muheng Li, Jixuan Fan et al.
Fast Peer Adaptation with Context-aware Exploration
Long Ma, Yuanfei Wang, Fangwei Zhong et al.
Minimalist Vision with Freeform Pixels
Jeremy Klotz, Shree Nayar
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt, Sebastian Stober
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta et al.
AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes
Dongxu Yue, Maomao Li, Yunfei Liu et al.
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Danish et al.
Online Continuous Generalized Category Discovery
Keon-Hee Park, Hakyung Lee, Kyungwoo Song et al.
On Representation Complexity of Model-based and Model-free Reinforcement Learning
Hanlin Zhu, Baihe Huang, Stuart Russell
Modeling Knowledge Graphs with Composite Reasoning
Wanyun Cui, Linqiu Zhang
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen, Yuchen He, Chihao Zhang
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan, Melih Barsbey, Abdellatif Zaidi et al.
Towards Stable 3D Object Detection
Jiabao Wang, Qiang Meng, Guochao Liu et al.
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng, Zhongkai Hao, Wang Xiaoqiang et al.
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo, Weichao Zhou, Wenchao Li
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
Kun Wang, Zhiqiang Yan, Huang Tian et al.
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF
Sibi Catley-Chandar, Richard Shaw, Greg Slabaugh et al.
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist, Shichong Peng, Ke Li
Pix2Gif: Motion-Guided Diffusion for GIF Generation
Hitesh Kandala, Jianfeng Gao, Jianwei Yang
Enhancing Neural Training via a Correlated Dynamics Model
Jonathan Brokman, Roy Betser, Rotem Turjeman et al.
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
Jonas Beck, Nathanael Bosch, Michael Deistler et al.
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian Gregor Gruber, Florian Buettner
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
Qihang Zhang, Yinghao Xu, Yujun Shen et al.
Active Generation for Image Classification
Tao Huang, Jiaqi Liu, Shan You et al.