Most Cited 2024 "cluster-directed mixed graphs" Papers

Active Label Correction for Semantic Segmentation with Foundation Models

Hoyoung Kim, SEHYUN HWANG, Suha Kwak et al.

Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction

Rui Peng, Shihe Shen, Kaiqiang Xiong et al.

SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding

Chanho Park, Namyoon Lee

CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation

Hongyang Chen, Kaisheng Ma

Efficient Depth-Guided Urban View Synthesis

sheng miao, Jiaxin Huang, Dongfeng Bai et al.

CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization

Yuang Cai, Yuyu Yuan

Confidence-aware Contrastive Learning for Selective Classification

Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang et al.

Online Continuous Generalized Category Discovery

Keon-Hee Park, Hakyung Lee, Kyungwoo Song et al.

Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation

Chaowei Fang, Ziyin Zhou, Junye Chen et al.

Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials

Ivan Grega, Ilyes Batatia, Gábor Csányi et al.

Visual Objectification in Films: Towards a New AI Task for Video Interpretation

Julie Tores, Lucile Sassatelli, Hui-Yin Wu et al.

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints

Weidi Xu, Jingwei Wang, Lele Xie et al.

A Characterization Theorem for Equivariant Networks with Point-wise Activations

Marco Pacini, Xiaowen Dong, Bruno Lepri et al.

AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes

Dongxu Yue, Maomao Li, Yunfei Liu et al.

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras

Hoonhee Cho, Sung-Hoon Yoon, Hyeokjun Kweon et al.

GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers

Manu S Pillai, Mamshad Nayeem Rizve, Shah Mubarak

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training

Shruthi Gowda, Bahram Zonooz, Elahe Arani

Approximate Integer Solution Counts over Linear Arithmetic Constraints

Cunjing Ge

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

Xinyu Yang, Hossein Rahmani, Sue Black et al.

An Independence-promoting Loss for Music Generation with Language Models

Jean-Marie Lemercier, Simon Rouard, Jade Copet et al.

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers

Zixuan Fu, Lanqing Guo, Chong Wang et al.

Projecting Trackable Thermal Patterns for Dynamic Computer Vision

Mark Sheinin, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan

ShapeWalk: Compositional Shape Editing Through Language-Guided Chains

Habib Slim, Mohamed Elhoseiny

Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection

Zhili Chen, Shuangjie Xu, Maosheng Ye et al.

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang YU, Danruo Deng, Furui Liu et al.

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency

Xu Yingjie, Bangzhen Liu, Hao Tang et al.

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

Erik Wallin, Lennart Svensson, Fredrik Kahl et al.

Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss

Alex Rich, Noah Stier, Pradeep Sen et al.

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.

NECA: Neural Customizable Human Avatar

Junjin Xiao, Qing Zhang, Zhan Xu et al.

Compact HD Map Construction via Douglas-Peucker Point Transformer

Ruixin Liu, Zejian Yuan

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Direct Amortized Likelihood Ratio Estimation

Adam Cobb, Brian Matejek, Daniel Elenius et al.

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation

Mathias Öttl, Frauke Wilm, Jana Steenpass et al.

Commonsense for Zero-Shot Natural Language Video Localization

Meghana Holla, Ismini Lourentzou

Automatic Functional Differentiation in JAX

Min Lin

Robust Learning-Augmented Dictionaries

Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili

Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment

Wulian Yun, Mengshi Qi, Fei Peng et al.

Towards the Fundamental Limits of Knowledge Transfer over Finite Domains

Qingyue Zhao, Banghua Zhu

Differentially private exact recovery for stochastic block models

Dung Nguyen, Anil Vullikanti

Permutation-Based Hypothesis Testing for Neural Networks

Francesca Mandel, Ian Barnett

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization

Soumia Boucherouite, Grigory Malinovsky, Peter Richtarik et al.

Structured Probabilistic Coding

Dou Hu, Lingwei Wei, Yaxin Liu et al.

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang et al.

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov et al.

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

Patricia Pauli, Aaron Havens, Alexandre Araujo et al.

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Jinuk Kim, Marwa El Halabi, Mingi Ji et al.

Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model

Liyang Zhu, Meng Ding, Vaneet Aggarwal et al.

OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks

JINGYANG XIANG, Zuohui Chen, Siqi Li et al.

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control

Karim Kadry, Shreya Gupta, Jonas Sogbadji et al.

Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models

Luozhou Wang, Guibao Shen, Wenhang Ge et al.

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

Hao Tian, Sourav Medya, Wei Ye

Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation

Alexander Munteanu, Simon Omlor

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

Xiaofeng Wu, Velibor Bojkovic, Bin Gu et al.

Generalisation through Negation and Predicate Invention

David M. Cerna, Andrew Cropper

Open Vocabulary Multi-Label Video Classification

Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan et al.

Point-VOS: Pointing Up Video Object Segmentation

Sabarinath Mahadevan, Idil Esen Zulfikar, Paul Voigtlaender et al.

Enhancing Neural Training via a Correlated Dynamics Model

Jonathan Brokman, Roy Betser, Rotem Turjeman et al.

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Junlong Liao, Wenda Fu, Cong Wang et al.

Projection-Free Online Convex Optimization with Time-Varying Constraints

Dan Garber, Ben Kretzu

On Representation Complexity of Model-based and Model-free Reinforcement Learning

Hanlin Zhu, Baihe Huang, Stuart Russell

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

Averaging $n$-step Returns Reduces Variance in Reinforcement Learning

Brett Daley, Martha White, Marlos C. Machado

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

Romain Loiseau, Elliot Vincent, Mathieu Aubry et al.

Unsupervised Pretraining for Fact Verification by Language Model Distillation

Adrian Bazaga, Pietro Lio, Gos Micklem

SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation

Kejia Yin, Varshanth Rao, Ruowei Jiang et al.

Improving Adversarial Energy-Based Model via Diffusion Process

Cong Geng, Tian Han, Peng-Tao Jiang et al.

Can Implicit Bias Imply Adversarial Robustness?

Hancheng Min, Rene Vidal

DiaLoc: An Iterative Approach to Embodied Dialog Localization

Chao Zhang, Mohan Li, Ignas Budvytis 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

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution

Zhiheng Li, Muheng Li, Jixuan Fan et al.

Image-to-Lidar Relational Distillation for Autonomous Driving Data

Anas Mahmoud, Ali Harakeh, Steven Waslander

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya et al.

DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction

YANLONG LI, Chamara Madarasingha, Kanchana Thilakarathna

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator

Yujia Liang, Zixuan Ye, Wenze Liu et al.

Unknown Domain Inconsistency Minimization for Domain Generalization

Seungjae Shin, HeeSun Bae, Byeonghu Na et al.

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization

Anna Kukleva, Fadime Sener, Edoardo Remelli et al.

Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis

Tianci Bi, Xiaoyi Zhang, Zhizheng Zhang et al.

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

Zhanwei Zhang, Minghao Chen, Shuai Xiao et al.

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data

Rui Miao, Kaixiong Zhou, Yili Wang et al.

Pi-DUAL: Using privileged information to distinguish clean from noisy labels

Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton et al.

Adaptive Instrument Design for Indirect Experiments

Yash Chandak, Shiv Shankar, Vasilis Syrgkanis et al.

Bucketed Ranking-based Losses for Efficient Training of Object Detectors

Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan 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.

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds

Shengjun Zhang, Xin Fei, Yueqi Duan

Breaking through the learning plateaus of in-context learning in Transformer

Jingwen Fu, Tao Yang, Yuwang Wang et al.

Open Ad Hoc Teamwork with Cooperative Game Theory

Jianhong Wang, Yang Li, Yuan Zhang et al.

nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding

Benjin Zhu, zhe wang, Hongsheng LI

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Jeffrey Wen, Rizwan Ahmad, Phillip Schniter

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

Fei Kong, Jinhao Duan, Lichao Sun et al.

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity

Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida et al.

Efficient Hyperparameter Optimization with Adaptive Fidelity Identification

Jiantong Jiang, Zeyi Wen, Atif Mansoor et al.

Adversarial Feature Map Pruning for Backdoor

Dong HUANG, Qingwen Bu

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing

Hanfei Yu, Jian Li, Yang Hua et al.

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners

Dongjun Gu, Jaehyeok Shim, Jaehoon Jang et al.

Nonlinear Filtering with Brenier Optimal Transport Maps

Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini et al.

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model

Huaijin Wu, Wei Liu, Yatao Bian et al.

SCoRe: Submodular Combinatorial Representation Learning

Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation

Haizhong Zheng, Jiachen Sun, Shutong Wu et al.

Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators

Yaniv Blumenfeld, Itay Hubara, Daniel Soudry

The Update-Equivalence Framework for Decision-Time Planning

Samuel Sokota, Gabriele Farina, David Wu et al.

Faithfulness Measurable Masked Language Models

Andreas Madsen, Siva Reddy, Sarath Chandar

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization

Kun Wang, Zhiqiang Yan, Huang Tian et al.

Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning

Yanwen Ba, Xuan Liu, Xinning Chen et al.

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

Kaiyi Zhang, Yang Chen, Ximing Yang et al.

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

Ahmet Alacaoglu, Donghwan Kim, Stephen Wright

EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali et al.

Headless Language Models: Learning without Predicting with Contrastive Weight Tying

Nathan Godey, Éric Clergerie, Benoît Sagot

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia

Kenichiro Ando, S. Sekine, Mamoru Komachi

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning

Jannik Deuschel, Caleb Ellington, Yingtao Luo et al.

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF

Sibi Catley-Chandar, Richard Shaw, Greg Slabaugh et al.

Edit One for All: Interactive Batch Image Editing

Thao Nguyen, Utkarsh Ojha, Yuheng Li et al.

How to Make Knockout Tournaments More Popular?

Juhi Chaudhary, Hendrik Molter, Meirav Zehavi

On the Evaluation Consistency of Attribution-based Explanations

Jiarui Duan, Haoling Li, Haofei Zhang et al.

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

Sebastian Gregor Gruber, Florian Buettner

Demystifying Linear MDPs and Novel Dynamics Aggregation Framework

Joongkyu Lee, Min-hwan Oh

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

Hilal Asi, Vitaly Feldman, Jelani Nelson et al.

SpaCE: The Spatial Confounding Environment

Mauricio Tec, Ana Trisovic, Michelle Audirac et al.

Spatial-Temporal Multi-level Association for Video Object Segmentation

Deshui Miao, Xin Li, Zhenyu He et al.

RS-NeRF: Neural Radiance Fields from Rolling Shutter Images

Muyao Niu, Tong Chen, Yifan Zhan et al.

SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings

Kang Liu

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions

Sohyun Lee, Namyup Kim, Sungyeon Kim et al.

Self-Cooperation Knowledge Distillation for Novel Class Discovery

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search

Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa

Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View

Jin Wang, Shichao Dong, Yapeng Zhu et al.

Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?

Rosario Leonardi, Antonino Furnari, Francesco Ragusa et al.

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

Xiaoxuan He, Yifan Yang, Xinyang Jiang et al.

Plugin estimators for selective classification with out-of-distribution detection

Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.

Flow-Guided Online Stereo Rectification for Wide Baseline Stereo

Anush Kumar, Fahim Mannan, Omid Hosseini Jafari et al.

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector

Xianren Zhang, Dongwon Lee, Suhang Wang

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang et al.

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

Yihang Chen, TSAI HOR CHAN, Guosheng Yin et al.

View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields

Haodi He, Colton Stearns, Adam Harley et al.

Pre-trained Visual Dynamics Representations for Efficient Policy Learning

Hao Luo, Bohan Zhou, Zongqing Lu

Understanding Multi-compositional learning in Vision and Language models via Category Theory

Sotirios Panagiotis Takis Chytas, Hyunwoo J. Kim, Vikas Singh

Uncertainty-Aware Reward-Free Exploration with General Function Approximation

Junkai Zhang, Weitong Zhang, Dongruo Zhou et al.

Simple Unsupervised Knowledge Distillation With Space Similarity

Aditya Singh, Haohan Wang

Minimal Perspective Autocalibration

Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri et al.

Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction

Yansheng Li, Tingzhu Wang, Kang Wu et al.

DSMix: Distortion-Induced Saliency Map Based Pre-training for No-Reference Image Quality Assessment

Jinsong Shi, Jinsong Shi, Xiaojiang Peng et al.

Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery

Yuqi Zhang, Guanying Chen, Jiaxing Chen et al.

Efficient Contextual Bandits with Uninformed Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Haipeng Luo et al.

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications

Jiashuo Liu, Jiayun Wu, Tianyu Wang et al.

Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution

Zakariya Chaouai, Mohamed Tamaazousti

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection

Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi

Symmetric Matrix Completion with ReLU Sampling

Huikang Liu, Peng Wang, Longxiu Huang et al.

OVMR: Open-Vocabulary Recognition with Multi-Modal References

Zehong Ma, Shiliang Zhang, Longhui Wei et al.

A Policy Gradient Method for Confounded POMDPs

Mao Hong, Zhengling Qi, Yanxun Xu

The Effective Horizon Explains Deep RL Performance in Stochastic Environments

Cassidy Laidlaw, Banghua Zhu, Stuart Russell et al.

HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks

Hai Zhang, Chunwei Wu, Guitao Cao et al.

Pre-training LiDAR-based 3D Object Detectors through Colorization

Tai-Yu Pan, Chenyang Ma, Tianle Chen et al.

Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD

Yijun Wan, Melih Barsbey, Abdellatif Zaidi et al.

E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning

8445 Wangkun Xu, Jianhong Wang, Fei Teng

Hyperspherical Classification with Dynamic Label-to-Prototype Assignment

Mohammad Saadabadi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan et al.

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Vy Vo, Trung Le, Tung-Long Vuong 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.

PMAC: Personalized Multi-Agent Communication

Xiangrui Meng, Ying Tan

Fundamental Matrix Estimation Using Relative Depths

Yaqing Ding, Václav Vávra, Snehal Bhayani et al.

A Fair Ranking and New Model for Panoptic Scene Graph Generation

Julian Lorenz, Alexander Pest, Daniel Kienzle et al.

Unsegment Anything by Simulating Deformation

Jiahao Lu, Xingyi Yang, Xinchao Wang

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition

Ka Ho Chow, Sihao Hu, Tiansheng Huang et al.

PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks

Marina Neseem, Conor McCullough, Randy Hsin et al.

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

Input Margins Can Predict Generalization Too

Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel

Learning Safe Action Models with Partial Observability

Hai Le, Brendan Juba, Roni Stern

Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation

Yuwen Pan, Rui Sun, Naisong Luo et al.

Cached Transformers: Improving Transformers with Differentiable Memory Cached

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.

Responsibility in Extensive Form Games

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos

Leonhard Sommer, Artur Jesslen, Eddy Ilg 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.

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning

Zijian Guo, Weichao Zhou, Wenchao Li

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

Yankun Xu, Junzhe Wang, Yun-Hsuan Chen et al.

Estimating Shape Distances on Neural Representations with Limited Samples

Dean Pospisil, Brett Larsen, Sarah Harvey et al.

Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations

Zipeng Wang, yunfan lu, LIN WANG

Intensity-Robust Autofocus for Spike Camera

Changqing Su, Zhiyuan Ye, Yongsheng Xiao et al.

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Sonny Achten, Francesco Tonin, Panagiotis Patrinos et al.

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang et al.

Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders

Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation

Qihang Zhang, Yinghao Xu, Yujun Shen et al.

SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras

Yingqi Tang, Zhaotie Meng, Guoliang Chen et al.

Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge

Sixing Wu, Jiong Yu, Jiahao Chen et al.

EFHQ: Multi-purpose ExtremePose-Face-HQ dataset

Trung Dao, Duc H Vu, Cuong Pham et al.

Novel Class Discovery in Chest X-rays via Paired Images and Text

Jiaying Zhou, Yang Liu, Qingchao Chen

HiGen: Hierarchical Graph Generative Networks

Mahdi Karami

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations

Anselm Haselhoff, Kevin Trelenberg, Fabian Küppers et al.

Certifiably Byzantine-Robust Federated Conformal Prediction

Mintong Kang, Zhen Lin, Jimeng Sun et al.

Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis

Chirag Vashist, Shichong Peng, Ke Li

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras

Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari

Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction

Cheng Sun, Wei-En Tai, Yu-Lin Shih et al.

Revisiting Calibration of Wide-Angle Radially Symmetric Cameras

Andrea Porfiri Dal Cin, Francesco Azzoni, Giacomo Boracchi et al.

FaceLift: Semi-supervised 3D Facial Landmark Localization

David Ferman, Pablo Garrido, Gaurav Bharaj

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

Jiaan Wang, JIanfeng Qu, Kexin Wang et al.

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

Shangyu Wu, Ying Xiong, Yufei CUI et al.

Reprojection Errors as Prompts for Efficient Scene Coordinate Regression

Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu et al.