Most Cited 2024 "question answering" Papers
12,324 papers found • Page 36 of 62
Conference
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Xueyang Tang, Song Guo, Jie ZHANG et al.
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Vitali Petsiuk, Kate Saenko
Total Variation Distance Meets Probabilistic Inference
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel et al.
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
Duy Tho Le, Chenhui Gou, Stavya Datta et al.
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Shirin Shoushtari, JIAMING LIU, Edward Chandler et al.
GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement
Linfang Zheng, Tze Ho Elden Tse, Chen Wang et al.
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders
Lisa Bonheme, Marek Grzes
When Representations Align: Universality in Representation Learning Dynamics
Loek van Rossem, Andrew Saxe
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Samuel Pegg, Kai Li, Xiaolin Hu
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
Zhiyu Tan, Mengping Yang, Luozheng Qin et al.
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic
AWOL: Analysis WithOut synthesis using Language
Silvia Zuffi, Michael J. Black
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma, Shuang Li, Lincan Cai et al.
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
Ekta Prashnani, Koki Nagano, Shalini De Mello et al.
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors
Xiaze Zhang, Ziheng Ding, Qi Jing et al.
Robust Policy Learning via Offline Skill Diffusion
Woo Kyung Kim, Minjong Yoo, Honguk Woo
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Yang He, Joey Tianyi Zhou
3DInAction: Understanding Human Actions in 3D Point Clouds
Yizhak Ben-Shabat, Oren Shrout, Stephen Gould
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
Jiangmeng Li, Fei Song, Yifan Jin et al.
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo et al.
xT: Nested Tokenization for Larger Context in Large Images
Ritwik Gupta, Shufan Li, Tyler Zhu et al.
Towards Open-Ended Visual Recognition with Large Language Models
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu, Suryansh Kumar, Shuhang Gu et al.
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo Song, Haobo SONG, Hao Zhao et al.
Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
Xiaoyu Liu, Miaomiao Cai, Yinda Chen et al.
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega, Simon Rodriguez Santana, Daniel Hernández-Lobato
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding
Hang Du, Guoshun Nan, Sicheng Zhang et al.
Towards Robust Multi-Modal Reasoning via Model Selection
Xiangyan Liu, Rongxue LI, Wei Ji et al.
WaveMo: Learning Wavefront Modulations to See Through Scattering
Mingyang Xie, Haiyun Guo, Brandon Y. Feng et al.
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang, Guangyu Gao
UniCal: Unified Neural Sensor Calibration
Ze Yang, George G Chen, Haowei Zhang et al.
Random Scaling and Momentum for Non-smooth Non-convex Optimization
Qinzi Zhang, Ashok Cutkosky
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations
Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
Pulkit Kumar, Namitha Padmanabhan, Luke Luo et al.
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Huy Hoang, Tien Mai, Pradeep Varakantham
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification
Fengxiang Yang, Zhun Zhong, Zhiming Luo et al.
The Perception-Robustness Tradeoff in Deterministic Image Restoration
Guy Ohayon, Tomer Michaeli, Michael Elad
Bayesian Optimization of Function Networks with Partial Evaluations
Poompol Buathong, Jiayue Wan, Raul Astudillo et al.
Insect Identification in the Wild: The AMI Dataset
Aditya Jain, Fagner Cunha, Michael J Bunsen et al.
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu, Gianni Franchi, Jindong Gu et al.
Bidirectional Progressive Transformer for Interaction Intention Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai et al.
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang et al.
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Jeeveswaran Kishaan, Elahe Arani, Bahram Zonooz
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
Yifei Zhou, Ayush Sekhari, Yuda Song et al.
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
Luong-Ha Nguyen, James-A. Goulet
RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
Ming Chang, Xishan Zhang, Rui Zhang et al.
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li, Rong Wang, Quanling Deng et al.
Joint2Human: High-Quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang, Qiao Feng, Zhuo Su et al.
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao et al.
Sparsistency for inverse optimal transport
Francisco Andrade, Gabriel Peyré, Clarice Poon
Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
Nikita Doikov, Sebastian Stich, Martin Jaggi
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
Jie Ruan, Xiao Pu, Mingqi Gao et al.
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma et al.
Guess & Sketch: Language Model Guided Transpilation
Celine Lee, Abdulrahman Mahmoud, Michal Kurek et al.
Deep Imbalanced Regression via Hierarchical Classification Adjustment
Haipeng Xiong, Angela Yao
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge
Hyejin Park, Dongbo Min
Plain-Det: A Plain Multi-Dataset Object Detector
cheng Shi, yuchen zhu, Sibei Yang
Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable
En-Hui Yang, Linfeng Ye
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang, Zhiqin Yang, Xinmei Tian et al.
Efficient local linearity regularization to overcome catastrophic overfitting
Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos et al.
SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields
Yu Liu, Baoxiong Jia, Yixin Chen et al.
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao Li, Yining Liu, Na Dong et al.
Near-Optimal Solutions of Constrained Learning Problems
Juan Elenter, Luiz Chamon, Alejandro Ribeiro
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang
Shape from Heat Conduction
Sriram Narayanan, Mani Ramanagopal, Mark Sheinin et al.
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang, Ziluo Ding, Zongqing Lu
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher
Constraint-Free Structure Learning with Smooth Acyclic Orientations
Riccardo Massidda, Francesco Landolfi, Martina Cinquini et al.
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He, Yao Shu, Zhongxiang Dai et al.
Neural Reasoning about Agents’ Goals, Preferences, and Actions
Matteo Bortoletto, Lei Shi, Andreas Bulling
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang, Haotian Fu, Yilin Miao et al.
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Haowen Wang, Tao Sun, Congyun Jin et al.
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
On dimensionality of feature vectors in MPNNs
César Bravo, Alexander Kozachinskiy, Cristobal Rojas
Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis
Zipeng Qi, Guoxi Huang, Chenyang Liu et al.
CoLiDE: Concomitant Linear DAG Estimation
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals
Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.
Snuffy: Efficient Whole Slide Image Classifier
Hossein Jafarinia, Alireza Alipanah, Saeed Razavi et al.
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
Siyuan Li, Lei Ke, Yung-Hsu Yang et al.
Taming Binarized Neural Networks and Mixed-Integer Programs
Johannes Aspman, Georgios Korpas, Jakub Marecek
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu, Luping Ji
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
Filippo Maggioli, Daniele Baieri, Emanuele Rodola et al.
Regret Analysis of Repeated Delegated Choice
Suho Shin, Keivan Rezaei, Mohammad Hajiaghayi et al.
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors
Zizheng Yan, Jiapeng Zhou, Fanpeng Meng et al.
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Hien Dang, Tho-Huu Tran, Tan Nguyen et al.
How to Leverage Diverse Demonstrations in Offline Imitation Learning
Sheng Yue, Jiani Liu, Xingyuan Hua et al.
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim et al.
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation
Junsung Lee, Minsoo Kang, Bohyung Han
Improving Zero-Shot Generalization for CLIP with Variational Adapter
Ziqian Lu, Fengli Shen, Mushui Liu et al.
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
Dongyoung Choi, Hyeonjoong Jang, Min H. Kim
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
Ao Liu, Wenshan Li, Tao Li et al.
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images
Guanlin Shen, Jingwei Huang, Zhihua Hu et al.
COMMA: Co-articulated Multi-Modal Learning
Authors: Lianyu Hu, Liqing Gao, Zekang Liu et al.
Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
Tian Liang, Jing Huang, Ming Kong et al.
Personalized Video Relighting With an At-Home Light Stage
Jun Myeong Choi, Max Christman, Roni Sengupta
Sub-token ViT Embedding via Stochastic Resonance Transformers
Dong Lao, Yangchao Wu, Tian Yu Liu et al.
Adaptive Learning of Density Ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end–optimized Perception with Neural Sensors
Haley So, Laurie Bose, Piotr Dudek et al.
Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization
Ye Chen, Bingbing Ni, Jinfan Liu et al.
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model
Donggeun Yoon, Minseok Seo, Doyi Kim et al.
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao, Yixin Zhu, Di He et al.
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren, Chen Chen, Liqiang Wang et al.
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
Lin Tian, Thomas H Greer, Raul San Jose Estepar et al.
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
Song Jintao, Wenqi Lu, Yunwen Lei et al.
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.
Unsupervised Multi-modal Medical Image Registration via Invertible Translation
Mengjie Guo
Random features models: a way to study the success of naive imputation
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception
Congzhang Shao, Guiyang Luo, Quan Yuan et al.
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
rixin zhou, Ding Xia, YI ZHANG et al.
Semantic Human Mesh Reconstruction with Textures
xiaoyu zhan, Jianxin Yang, Yuanqi Li et al.
Dual-Encoders for Extreme Multi-label Classification
Nilesh Gupta, Fnu Devvrit, Ankit Singh Rawat et al.
Knowledge-Enhanced Historical Document Segmentation and Recognition
En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu et al.
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
Yu Zhang, Qi Zhang, Zixuan Gong et al.
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image
Nailei Hei, Qianyu Guo, Zihao Wang et al.
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
Raphael Sulzer, Florent Lafarge
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara, Shehzeen Hussain, Rafael Valle et al.
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel et al.
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng et al.
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng et al.
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Yanqi Bao, Tianyu Ding, Jing Huo et al.
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen et al.
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
EungGu Kang, Byeonghun Lee, Sunghoon Im et al.
Inconsistency-Based Data-Centric Active Open-Set Annotation
Ruiyu Mao, Ouyang Xu, Yunhui Guo
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
bowen zhang, Xiaojie Jin, Weibo Gong et al.
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
Learning to Complement and to Defer to Multiple Users
Zheng Zhang, Wenjie Ai, Kevin Wells et al.
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
Xi Chen, Zhewen Hou, Christopher Metzler et al.
SemReg: Semantics Constrained Point Cloud Registration
Sheldon Fung, Xuequan Lu, Dasith de Silva Edirimuni et al.
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba, Dylan Green, Saeid Naderiparizi et al.
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim et al.
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Kyuyoung Kim, Jongheon Jeong, Minyong An et al.
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
GeonU Kim, Kim Youwang, Tae-Hyun Oh
AFreeCA: Annotation-Free Counting for All
Adriano DAlessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model
Amrin Kareem, Jean Lahoud, Hisham Cholakkal
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian, Min Shi, Yan Luo et al.
Efficient Algorithms for Sum-Of-Minimum Optimization
Lisang Ding, Ziang Chen, Xinshang Wang et al.
Coherent Temporal Synthesis for Incremental Action Segmentation
Guodong Ding, Hans Golong, Angela Yao
Text-Guided Video Masked Autoencoder
David Fan, Jue Wang, Shuai Liao et al.
Most discriminative stimuli for functional cell type clustering
Max F. Burg, Thomas Zenkel, Michaela Vystrčilová et al.
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation
Gian Toan D., Tien Dac Lai, Thien Van Luong et al.
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
Jianhao Li, Tianyu Sun, Zhongdao Wang et al.
KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching
Huanjing Yue, Zifan Cui, Kun Li et al.
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
Shuze Liu, Shangtong Zhang
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian, Haolei Weng, Yang Feng
Infinite-Horizon Distributionally Robust Regret-Optimal Control
Taylan Kargin, Joudi Hajar, Vikrant Malik et al.
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Duque, Timotheus Cooijmans et al.
Generating 3D House Wireframes with Semantics
Xueqi Ma, Yilin Liu, Wenjun Zhou et al.
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
Kun Ding, Haojian Zhang, Qiang Yu et al.
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James Kirk, Robert Wray, Peter Lindes et al.
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang, Feng Liu, Dawei Zhou et al.
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
Shishira R Maiya, Anubhav Anubhav, Matthew Gwilliam et al.
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Rui Pan, Yuxing Liu, Xiaoyu Wang et al.
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian et al.
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
Xi Li, Songhe Wang, Ruiquan Huang et al.
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
Yuxue Yang, Lue Fan, Zhaoxiang Zhang
Model Assessment and Selection under Temporal Distribution Shift
Elise Han, Chengpiao Huang, Kaizheng Wang
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang, Xiaojie Li, Motasem Alfarra et al.
On the Nonlinearity of Layer Normalization
Yunhao Ni, Yuxin Guo, Junlong Jia et al.
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
Chuanrui Zhang, Yonggen Ling, Minglei Lu et al.
Towards a Perceptual Evaluation Framework for Lighting Estimation
Justine Giroux, Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy et al.
Language Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu et al.
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
Bo Xiong, Mojtaba Nayyeri, Linhao Luo et al.
In Search of a Data Transformation That Accelerates Neural Field Training
Junwon Seo, Sangyoon Lee, Kwang In Kim et al.
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
Fuzhong Zhou, Chenyu Zhang, Xu Chen et al.
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
Hongming Zhang, Tongzheng Ren, Chenjun Xiao et al.
High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
YISHENG HE, Weihao Yuan, Siyu Zhu et al.
Weakly Supervised Few-Shot Object Detection with DETR
Chenbo Zhang, Yinglu Zhang, Lu Zhang et al.
Implicit Neural Representations and the Algebra of Complex Wavelets
T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop et al.
Double-Bounded Optimal Transport for Advanced Clustering and Classification
Liangliang Shi, Zhaoqi Shen, Junchi Yan
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
Weihang Liu, Xue Xian Zheng, Jingyi Yu et al.
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
Chengzhengxu Li, Xiaoming Liu, Yichen Wang et al.
Post-hoc Part-Prototype Networks
Andong Tan, Fengtao ZHOU, Hao Chen
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
Sayanton Vhaduri Dibbo, Adam Breuer, Juston Moore et al.
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
Lanxiang Xing, Haixu Wu, yuezhou ma et al.
Unveiling and Manipulating Prompt Influence in Large Language Models
Zijian Feng, Hanzhang Zhou, ZIXIAO ZHU et al.
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong, Risto Vuorio, Jacob Beck et al.
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Zhaomin Wu, Junyi Hou, Bingsheng He
G3DR: Generative 3D Reconstruction in ImageNet
Pradyumna Reddy, Ismail Elezi, Jiankang Deng
Identifying Policy Gradient Subspaces
Jan Schneider, Pierre Schumacher, Simon Guist et al.
Fast Encoding and Decoding for Implicit Video Representation
Hao Chen, Saining Xie, Ser-Nam Lim et al.
Generalized Coverage for More Robust Low-Budget Active Learning
Wonho Bae, Junhyug Noh, Danica J. Sutherland
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang et al.
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu, Chenghao Deng, Yanchao Sun et al.
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Lei Fan, Jianxiong Zhou, Xiaoying Xing et al.
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation
Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno et al.
Fact-Driven Logical Reasoning for Machine Reading Comprehension
Siru Ouyang, Zhuosheng Zhang, Hai Zhao
HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs
Ziwei Yao, Ruiping Wang, Xilin CHEN