Most Cited 2024 "phase transitions" Papers

Generative Adversarial Equilibrium Solvers

Denizalp Goktas, David Parkes, Ian Gemp et al.

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks

Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko et al.

Symbol as Points: Panoptic Symbol Spotting via Point-based Representation

Wenlong Liu, Tianyu Yang, Yuhan Wang et al.

Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning

Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu et al.

REFACTOR: Learning to Extract Theorems from Proofs

Jin Zhou, Yuhuai Wu, Qiyang Li et al.

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

Alizée Pace, Hugo Yèche, Bernhard Schoelkopf et al.

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.

TUVF: Learning Generalizable Texture UV Radiance Fields

An-Chieh Cheng, Xueting Li, Sifei Liu et al.

BECLR: Batch Enhanced Contrastive Few-Shot Learning

Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad

Ensemble Distillation for Unsupervised Constituency Parsing

Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu et al.

Polynomial Width is Sufficient for Set Representation with High-dimensional Features

Peihao Wang, Shenghao Yang, Shu Li et al.

Multi-task Learning with 3D-Aware Regularization

Wei-Hong Li, Steven McDonagh, Ales Leonardis et al.

On the Parameterization of Second-Order Optimization Effective towards the Infinite Width

Satoki Ishikawa, Ryo Karakida

Adaptive Window Pruning for Efficient Local Motion Deblurring

Haoying Li, Jixin Zhao, Shangchen Zhou et al.

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery

Linan Yue, Qi Liu, Yichao Du et al.

PubDef: Defending Against Transfer Attacks From Public Models

Chawin Sitawarin, Jaewon Chang, David Huang et al.

Neural Fourier Transform: A General Approach to Equivariant Representation Learning

Masanori Koyama, Kenji Fukumizu, Kohei Hayashi et al.

Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback

Haolin Liu, Chen-Yu Wei, Julian Zimmert

PRIME: Prioritizing Interpretability in Failure Mode Extraction

Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri et al.

Unlocking the Power of Representations in Long-term Novelty-based Exploration

Alaa Saade, Steven Kapturowski, Daniele Calandriello et al.

A Lie Group Approach to Riemannian Batch Normalization

Ziheng Chen, Yue Song, Yunmei Liu et al.

Exploring Weight Balancing on Long-Tailed Recognition Problem

Naoya Hasegawa, Issei Sato

Influencer Backdoor Attack on Semantic Segmentation

Haoheng Lan, Jindong Gu, Philip Torr et al.

Space and time continuous physics simulation from partial observations

Steeven Janny, Madiha Nadri, Julie Digne et al.

The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models

cheng shi, Sibei Yang

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models

Zijun Wu, Yongkang Wu, Lili Mou

On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation

Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

General Graph Random Features

Isaac Reid, Krzysztof Choromanski, Eli Berger et al.

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

Yiyang Ma, Huan Yang, Wenhan Yang et al.

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory

Arnab Mondal, Siba Smarak Panigrahi, Sai Rajeswar et al.

Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains

Jiale Zhao, Wanru Zhuang, Jia Song et al.

Unsupervised Concept Discovery Mitigates Spurious Correlations

Md Rifat Arefin, Yan Zhang, Aristide Baratin et al.

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

Tianlang Chen, Shengjie Luo, Di He et al.

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element

Nimrod Berman, Ilan Naiman, Idan Arbiv et al.

An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization

Emre Sahinoglu, Shahin Shahrampour

Adaptively Perturbed Mirror Descent for Learning in Games

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto et al.

Position: Stop Making Unscientific AGI Performance Claims

Patrick Altmeyer, Andrew Demetriou, Antony Bartlett et al.

Scalable Online Exploration via Coverability

Philip Amortila, Dylan Foster, Akshay Krishnamurthy

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning

Matteo Bettini, Ryan Kortvelesy, Amanda Prorok

How Spurious Features are Memorized: Precise Analysis for Random and NTK Features

Simone Bombari, Marco Mondelli

Can a Few Decide for Many? The Metric Distortion of Sortition

Ioannis Caragiannis, Evi Micha, Jannik Peters

Online Learning under Budget and ROI Constraints via Weak Adaptivity

Matteo Castiglioni, Andrea Celli, Christian Kroer

Auditing Private Prediction

Karan Chadha, Matthew Jagielski, Nicolas Papernot et al.

Boosting Offline Optimizers with Surrogate Sensitivity

Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong et al.

Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

Rémi Leluc, Aymeric Dieuleveut, François Portier et al.

A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer

Zhangyang Gao, Daize Dong, Cheng Tan et al.

Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

Bowen Gao, Minsi Ren, Yuyan Ni et al.

On the Diminishing Returns of Width for Continual Learning

Etash Guha, Vihan Lakshman

GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks

Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg

Prototypical Transformer As Unified Motion Learners

Cheng Han, Yawen Lu, Guohao Sun et al.

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Tanishq Kumar, Kevin Luo, Mark Sellke

Generalized Sobolev Transport for Probability Measures on a Graph

Tam Le, Truyen Nguyen, Kenji Fukumizu

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking

Wenshuo Li, Xinghao Chen, Han Shu et al.

KernelWarehouse: Rethinking the Design of Dynamic Convolution

Chao Li, Anbang Yao

Graph External Attention Enhanced Transformer

Jianqing Liang, Min Chen, Jiye Liang

Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data

Kang Lin, Reinhard Heckel

The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks

Ziquan Liu, Yufei Cui, Yan Yan et al.

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning

Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang et al.

Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks

Stefano Mannelli, Yaraslau Ivashynka, Andrew Saxe et al.

Position: Tensor Networks are a Valuable Asset for Green AI

Eva Memmel, Clara Menzen, Jetze Schuurmans et al.

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler

Hongyi Peng, Han Yu, Xiaoli Tang et al.

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Zoe Piran, Michal Klein, James Thornton et al.

Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration

Shi-ang Qi, Yakun Yu, Russell Greiner

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds

Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Artur Toshev, Jonas Erbesdobler, Nikolaus Adams et al.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception

Zhaoliang Wan, Yonggen Ling, Senlin Yi et al.

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks

Lihao Wang, Zhaofei Yu

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

Eslam Zaher, Maciej Trzaskowski, Quan Nguyen et al.

Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning

Yuxiao Wen, Arthur Jacot

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training

Jinxia Yang, Bing Su, Xin Zhao et al.

When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models

Haoran You, Yichao Fu, Zheng Wang et al.

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Junhua Zeng, Chao Li, Zhun Sun et al.

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

Tianren Zhang, Chujie Zhao, Guanyu Chen et al.

Visual Representation Learning with Stochastic Frame Prediction

Huiwon Jang, Dongyoung Kim, Junsu Kim et al.

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Chuanhao Sun, Zhihang Yuan, Kai Xu et al.

Rethinking Transformers in Solving POMDPs

Chenhao Lu, Ruizhe Shi, Yuyao Liu et al.

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.

Privacy Attacks in Decentralized Learning

Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup

Damien Teney, Jindong Wang, Ehsan Abbasnejad

Leveraging VLM-Based Pipelines to Annotate 3D Objects

Rishabh Kabra, Loic Matthey, Alexander Lerchner et al.

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation

Runze Liu, Yali Du, Fengshuo Bai et al.

Differentially Private Post-Processing for Fair Regression

Ruicheng Xian, Qiaobo Li, Gautam Kamath et al.

Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

Ingvar Ziemann, Stephen Tu, George Pappas et al.

Model-Based Minimum Bayes Risk Decoding for Text Generation

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda et al.

PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design

Alexandre Duval, Victor Schmidt, Santiago Miret et al.

Causal Discovery with Fewer Conditional Independence Tests

Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler

Stochastic Q-learning for Large Discrete Action Spaces

Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini

Differentially Private Decentralized Learning with Random Walks

Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay

Operator SVD with Neural Networks via Nested Low-Rank Approximation

Jongha (Jon) Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.

A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions

Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts

Ha Manh Bui, Anqi Liu

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

Hengyi Wang, Shiwei Tan, Hao Wang

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

Massimo Bini, Karsten Roth, Zeynep Akata et al.

CKGConv: General Graph Convolution with Continuous Kernels

Liheng Ma, Soumyasundar Pal, Yitian Zhang et al.

${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Dingyang Chen, Qi Zhang

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

Jiin Woo, Laixi Shi, Gauri Joshi et al.

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Ming-Kun Xie, Jia-Hao Xiao, Pei Peng et al.

Disguised Copyright Infringement of Latent Diffusion Models

Yiwei Lu, Matthew Yang, Zuoqiu Liu et al.

BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges

Hoyong Choi, Nohyun Ki, Hye Won Chung

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

Md Musfiqur Rahman, Murat Kocaoglu

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel

Uri Gadot, Kaixin Wang, Navdeep Kumar et al.

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Yucen Wang, Shenghua Wan, Le Gan et al.

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Kailas Vodrahalli, James Zou

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

Jinsoo Yoo, Yunpeng Liu, Frank Wood et al.

Rate-Optimal Policy Optimization for Linear Markov Decision Processes

Uri Sherman, Alon Cohen, Tomer Koren et al.

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning

Harsh Chaudhari, Giorgio Severi, Alina Oprea et al.

Learning Diverse Risk Preferences in Population-Based Self-Play

Yuhua Jiang, Qihan Liu, Xiaoteng Ma et al.

CatmullRom Splines-Based Regression for Image Forgery Localization

Li Zhang, Mingliang Xu, Dong Li et al.

Non-flat ABA Is an Instance of Bipolar Argumentation

Markus Ulbricht, Nico Potyka, Anna Rapberger et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency

Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta et al.

Understanding MLP-Mixer as a wide and sparse MLP

Tomohiro Hayase, Ryo Karakida

Collage: Light-Weight Low-Precision Strategy for LLM Training

Tao Yu, Gaurav Gupta, KARTHICK GOPALSWAMY et al.

Querying Easily Flip-flopped Samples for Deep Active Learning

Seong Jin Cho, Gwangsu Kim, Junghyun Lee et al.

Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors

Tongkun Guan, Wei Shen, Xue Yang et al.

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features

Aleksandr Beznosikov, David Dobre, Gauthier Gidel

KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding

Zhihao Xu, Shengjie Gong, Jiapeng Tang et al.

Rethinking Image-to-Video Adaptation: An Object-centric Perspective

Rui Qian, Shuangrui Ding, Dahua Lin

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting

Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha et al.

Robust Loss Functions for Training Decision Trees with Noisy Labels

12831 Jonathan Wilton, Nan Ye

Uncertainty-aware Graph-based Hyperspectral Image Classification

Linlin Yu, Yifei Lou, Feng Chen

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective

Shokichi Takakura, Taiji Suzuki

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL

Jiawei Huang, Niao He, Andreas Krause

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion

Ishaan Rawal, Alexander Matyasko, Shantanu Jaiswal et al.

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers

Eros Fanì, Raffaello Camoriano, Barbara Caputo et al.

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications

Zixuan Hu, Yongxian Wei, Li Shen et al.

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models

Zihao Zhu, Mingda Zhang, Shaokui Wei et al.

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.

Learning to Control Camera Exposure via Reinforcement Learning

Kyunghyun Lee, Ukcheol Shin, Byeong-Uk Lee

COMO: Compact Mapping and Odometry

Eric Dexheimer, Andrew Davison

Nearly Equitable Allocations beyond Additivity and Monotonicity

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Florian Grötschla, Joël Mathys, Róbert Veres et al.

Neural Processing of Tri-Plane Hybrid Neural Fields

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini et al.

Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken

Peifu Liu, Tingfa Xu, Jie Wang et al.

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

Xiangxin Zhou, Liang Wang, Yichi Zhou

DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection

Yongchao Feng, Shiwei Li, Yingjie Gao et al.

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

Yuhang Zhou, Zhao Zihua, Siyuan Du et al.

Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation

Ossi Räisä, Joonas Jälkö, Antti Honkela

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen et al.

You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception

Sheng Jin, Shuhuai Li, Tong Li et al.

On the Limitations of Temperature Scaling for Distributions with Overlaps

Muthu Chidambaram, Rong Ge

Relational Matching for Weakly Semi-Supervised Oriented Object Detection

Wenhao Wu, Hau San Wong, Si Wu et al.

Primitive-Based 3D Human-Object Interaction Modelling and Programming

Siqi Liu, Yong-Lu Li, Zhou FANG et al.

Open-Set Biometrics: Beyond Good Closed-Set Models

Yiyang Su, Minchul Kim, Feng Liu et al.

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking

Wei Zong, Yang-Wai Chow, Willy Susilo et al.

Total Selfie: Generating Full-Body Selfies

Bowei Chen, Brian Curless, Ira Kemelmacher-Shlizerman et al.

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering

Charig Yang, Weidi Xie, Andrew ZISSERMAN

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Han Wang, Sihong He, Zhili Zhang et al.

Synaptic Weight Distributions Depend on the Geometry of Plasticity

Roman Pogodin, Jonathan Cornford, Arna Ghosh et al.

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning

Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann et al.

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control

Yong Zhong, Min Zhao, Zebin You et al.

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Katja Schwarz, Seung Wook Kim, Jun Gao et al.

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran et al.

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.

Diversity-aware Channel Pruning for StyleGAN Compression

Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim et al.

Text2Place: Affordance-aware Text Guided Human Placement

Rishubh Parihar, Harsh Gupta, Sachidanand VS et al.

Memory Efficient Neural Processes via Constant Memory Attention Block

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.

D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Zhaotong Yang, Zicheng Jiang, Xinzhe Li et al.

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling

Jakob Hollenstein, Georg Martius, Justus Piater

Automatic Controllable Colorization via Imagination

Xiaoyan Cong, Yue Wu, Qifeng Chen et al.

On the Last-Iterate Convergence of Shuffling Gradient Methods

Zijian Liu, Zhengyuan Zhou

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen et al.

Causally Aligned Curriculum Learning

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

Memory-Efficient Fine-Tuning for Quantized Diffusion Model

Hyogon Ryu, Seohyun Lim, Hyunjung Shim

In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing

Yiran Xu, Zhixin Shu, Cameron Smith et al.

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

Seokjun Lee, Seung-Won Jung, Hyunseok Seo

Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints

Yuantong Li, Guang Cheng, Xiaowu Dai

Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process

Mingjie Xu, Feng Lu

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts

Peipei Liu, Hong Li, Yimo Ren et al.

Learning from Synthetic Human Group Activities

Che-Jui Chang, Danrui Li, Deep Patel et al.

Behaviour Distillation

Andrei Lupu, Chris Lu, Jarek Liesen et al.

Improving Knowledge Distillation via Regularizing Feature Direction and Norm

Yuzhu Wang, Lechao Cheng, Manni Duan et al.

Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence

Zifan Wang, Zhuorui Ye, Haoran Wu et al.

Self-supervised co-salient object detection via feature correspondences at multiple scales

Souradeep Chakraborty, Dimitris Samaras

FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models

Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation

Qiang HE, Tianyi Zhou, Meng Fang et al.

DeblurSR: Event-Based Motion Deblurring under the Spiking Representation

Chen Song, Chandrajit Bajaj, Qixing Huang

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

Tatiana Gaintseva, Martin Benning, Greg Slabaugh

Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community

Arman Isajanyan, Artur Shatveryan, David Kocharian et al.

ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images

Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou et al.

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

Paul Mattes, Rainer Schlosser, Ralf Herbrich

SIG: Speaker Identification in Literature via Prompt-Based Generation

Zhenlin Su, Liyan Xu, Jin Xu et al.

FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN

Riccardo Santambrogio, Marco Cannici, Matteo Matteucci

Zero-Shot Image Feature Consensus with Deep Functional Maps

Xinle Cheng, Congyue Deng, Adam Harley et al.

Sharpness-Aware Data Poisoning Attack

Pengfei He, Han Xu, Jie Ren et al.

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment

Simon Weber, Je Hyeong Hong, Daniel Cremers

Camera Calibration using a Collimator System

Shunkun Liang, Banglei Guan, Zhenbao Yu et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images

Zhangjin Huang, Zhihao Liang, Kui Jia

What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions

raghav singhal, Mark Goldstein, Rajesh Ranganath

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting

Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen et al.

DittoGym: Learning to Control Soft Shape-Shifting Robots

Suning Huang, Boyuan Chen, Huazhe Xu et al.

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation

Rui Ye, Yaxin Du, Zhenyang Ni et al.