Most Cited 2024 "memory-efficient models" Papers

Catastrophic Overfitting: A Potential Blessing in Disguise

MN Zhao, Lihe Zhang, Yuqiu Kong et al.

Learning to Explore for Stochastic Gradient MCMC

SeungHyun Kim, Seohyeon Jung, SeongHyeon Kim et al.

TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly

Mengqi GUO, Chen Li, Yuyang Zhao et al.

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

Taeyoung Kim, Hongseok Yang

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes

Hyunouk Ko, Xiaoming Huo

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth

Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani et al.

Debiasing surgeon: fantastic weights and how to find them

Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen et al.

Sobolev Space Regularised Pre Density Models

Mark Kozdoba, Binyamin Perets, Shie Mannor

Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation

lei wang, Zejian Yuan, Badong Chen

Privately Learning Smooth Distributions on the Hypercube by Projections

Clément Lalanne, Sébastien Gadat

DataFreeShield: Defending Adversarial Attacks without Training Data

Hyeyoon Lee, Kanghyun Choi, Dain Kwon et al.

Defining Neural Network Architecture through Polytope Structures of Datasets

Sangmin Lee, Abbas Mammadov, Jong Chul YE

Towards Certifiably Robust Face Recognition

Seunghun Paik, Dongsoo Kim, Chanwoo Hwang et al.

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms

Yuchen Li, Laura Balzano, Deanna Needell et al.

Gibbs Sampling of Continuous Potentials on a Quantum Computer

Arsalan Motamedi, Pooya Ronagh

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang et al.

Measuring Stochastic Data Complexity with Boltzmann Influence Functions

Nathan Ng, Roger Grosse, Marzyeh Ghassemi

Privacy Preserving Adaptive Experiment Design

Jiachun Li, Kaining Shi, David Simchi-Levi

Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy

Bo Li, Wei Wang, Peng Ye

Integration of Global and Local Representations for Fine-grained Cross-modal Alignment

Seungwan Jin, Hoyoung Choi, Taehyung Noh et al.

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense

Jeremy Styborski, Mingzhi Lyu, YI HUANG et al.

Autonomous Sparse Mean-CVaR Portfolio Optimization

Yizun Lin, Yangyu Zhang, Zhao-Rong Lai et al.

Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar et al.

PAPM: A Physics-aware Proxy Model for Process Systems

Pengwei Liu, Zhongkai Hao, Xingyu Ren et al.

Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending

Delong Wu, Hao Zhu, Qi Zhang et al.

Source-Free Domain-Invariant Performance Prediction

Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon et al.

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control

Christopher May, Daniel Aliaga

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

Levente Ferenc Halmosi, Bálint Mohos, Márk Jelasity

Cluster-Aware Similarity Diffusion for Instance Retrieval

Jifei Luo, Hantao Yao, Changsheng Xu

Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation

Sudhir Kumar Reddy Yarram, Junsong Yuan

Submodular framework for structured-sparse optimal transport

Piyushi Manupriya, Pratik Kumar Jawanpuria, Karthik Gurumoorthy et al.

RANRAC: Robust Neural Scene Representations via Random Ray Consensus

Benno Buschmann, Andreea Dogaru, Elmar Eisemann et al.

MetaAug: Meta-Data Augmentation for Post-Training Quantization

Cuong Pham, Hoang Anh Dung, Cuong Cao Nguyen et al.

Diverse Text-to-3D Synthesis with Augmented Text Embedding

Uy Tran, Minh N. Hoang Luu, Phong Nguyen et al.

Provable Interactive Learning with Hindsight Instruction Feedback

Dipendra Misra, Aldo Pacchiano, Robert Schapire

Möbius Transform for Mitigating Perspective Distortions in Representation Learning

Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De et al.

Leveraging Imperfect Restoration for Data Availability Attack

YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.

Deep Stochastic Mechanics

Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang et al.

Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks

Jiacheng Cheng, Xiang Dai, Jia Wan et al.

Mean-field Chaos Diffusion Models

Sungwoo Park, Dongjun Kim, Ahmed Alaa

On Spectral Properties of Gradient-based Explanation Methods

Amir Mehrpanah, Erik Englesson, Hossein Azizpour

Online Learning with Bounded Recall

Jon Schneider, Kiran Vodrahalli

Multimodal Label Relevance Ranking via Reinforcement Learning

Taian Guo, Taolin Zhang, Haoqian Wu et al.

Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling

Zixiao Wang, Hongtao Xie, YuXin Wang et al.

Double Momentum Method for Lower-Level Constrained Bilevel Optimization

Wanli Shi, Yi Chang, Bin Gu

Latent variable model for high-dimensional point process with structured missingness

Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki

Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints

Oscar Smee, Fred Roosta

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing

Seongmin Hong, Jaehyeok Bae, Jongho Lee et al.

Private Truly-Everlasting Robust-Prediction

Uri Stemmer

POET: Prompt Offset Tuning for Continual Human Action Adaptation

Prachi Garg, Joseph K J, Vineeth N Balasubramanian et al.

Graph Neural Networks with a Distribution of Parametrized Graphs

See Hian Lee, Feng Ji, Kelin Xia et al.

CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection

Wei-Yu Lee, Martin Dimitrievski, David Van Hamme et al.

Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions

Yijun Qian, Jack Urbanek, Alexander Hauptmann et al.

Position: Do Not Explain Vision Models Without Context

Paulina Tomaszewska, Przemyslaw Biecek

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations

Zhi Qin Tan, Olga Isupova, Gustavo Carneiro et al.

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

Samia Shafique, Shu Kong, Charless Fowlkes

Matroid Semi-Bandits in Sublinear Time

Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu

Commonly Interesting Images

Fitim Abdullahu, Helmut Grabner

Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features

Rodrigo Veiga, Anastasia Remizova, Nicolas Macris

Fast Registration of Photorealistic Avatars for VR Facial Animation

Chaitanya Patel, Shaojie Bai, Te-Li Wang et al.

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Yu Chi, Fangneng Zhan, Sibo Wu et al.

SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets

Shenghua Wan, Ziyuan Chen, Le Gan et al.

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Hao Tang, Weiyao Wang, Pierre Gleize et al.

Imitation Learning from Purified Demonstrations

Yunke Wang, Minjing Dong, Yukun Zhao et al.

Mollification Effects of Policy Gradient Methods

Tao Wang, Sylvia Herbert, Sicun Gao

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes

Zhengyi Zhao, Chen Song, Xiaodong Gu et al.

Efficient Online Set-valued Classification with Bandit Feedback

Zhou Wang, Xingye Qiao

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

Caixing Wang, Ziliang Shen

On the Role of Edge Dependency in Graph Generative Models

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos et al.

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames

Ruidong Wu, Ruihan Guo, Rui Wang et al.

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

GUOJUN XIONG, Jian Li

Stochastic Bandits with ReLU Neural Networks

Kan Xu, Hamsa Bastani, Surbhi Goel et al.

Consistent 3D Line Mapping

Xulong Bai, Hainan Cui, Shuhan Shen

Position: Towards Implicit Prompt For Text-To-Image Models

Yue Yang, Yuqi Lin, Hong Liu et al.

ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos

Kang Hyolim, Jeongseok Hyun, Joungbin An et al.

Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

Zelong Zeng, Kaname Tomite

IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers

Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics

Xinyu Zhang, Wenjie Qiu, Yi-Chen Li et al.

Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval

Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley et al.

Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction

Hyeongseok Jeon, Sanmin Kim, Abi Rahman Syamil et al.

Transferable 3D Adversarial Shape Completion using Diffusion Models

Xuelong Dai, Bin Xiao

An Information Theoretical View for Out-Of-Distribution Detection

Jinjing Hu, Wenrui Liu, Hong Chang et al.

Dependency-aware Differentiable Neural Architecture Search

Buang Zhang, Xinle Wu, Hao Miao et al.

Online Learning in Betting Markets: Profit versus Prediction

Haiqing Zhu, Alexander Soen, Yun Kuen Cheung et al.

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction

Shuchi Wu, Chuan Ma, Kang Wei et al.

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning

Zijun Long, Lipeng Zhuang, George W Killick et al.

Leveraging scale- and orientation-covariant features for planar motion estimation

Marcus Valtonen Örnhag, Alberto Jaenal

An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers

CHI Zhang, Jingpu Cheng, Qianxiao Li

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection

Lars Doorenbos, Raphael Sznitman, Pablo Márquez Neila

Stochastic Optimization with Arbitrary Recurrent Data Sampling

William Powell, Hanbaek Lyu

Centralized Selection with Preferences in the Presence of Biases

L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi et al.

Flatness-aware Sequential Learning Generates Resilient Backdoors

Hoang Pham, The-Anh Ta, Anh Tran et al.

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang, Jenna Wiens

On-the-fly Category Discovery for LiDAR Semantic Segmentation

HYEONSEONG KIM, Sung-Hoon Yoon, Minseok Kim et al.

Object-Oriented Anchoring and Modal Alignment in Multimodal Learning

Shibin Mei, Bingbing Ni, Hang Wang et al.

Compositional Substitutivity of Visual Reasoning for Visual Question Answering

Chuanhao Li, Zhen Li, Chenchen Jing et al.

Causal Inference from Competing Treatments

Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt

Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection

Haoyue Shi, Le Wang, Sanping Zhou et al.

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games

Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn

A Persuasive Approach to Combating Misinformation

Safwan Hossain, Andjela Mladenovic, Yiling Chen et al.

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps

Evgenii Egorov, Riccardo Valperga, Efstratios Gavves

OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing

Pranav Gupta, Rishubh Singh, Pradeep Shenoy et al.

ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images

Xiangtian Xue, Jiasong Wu, Youyong Kong et al.

Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials

Jonathan Scott, Aine E Cahill

A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

Nicholas Monath, Will Grathwohl, Michael Boratko et al.

REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices

Chaojie Ji, Yufeng Li, Yiyi Liao

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch

Taemin Park, Hyuck Lee, Heeyoung Kim

Reinforcement Learning and Regret Bounds for Admission Control

Lucas Weber, Ana Busic, Jiamin ZHU

A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks

Feiyu CHEN, Wei Lin, Ziquan Liu et al.

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars

Jian Meng, Yuecheng Li, CHENGHUI Li et al.

A Probability-guided Sampler for Neural Implicit Surface Rendering

Gonçalo José Dias Pais, Valter André Piedade, Moitreya Chatterjee et al.

Semicalibrated Relative Pose from an Affine Correspondence and Monodepth

Petr Hrubý, Marc Pollefeys, Daniel Barath

Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization

Liam Schramm, Abdeslam Boularias

Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions

Jon Vadillo, Roberto Santana, Jose A Lozano

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang et al.

Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning

Dake Zhang, Boxiang Lyu, Shuang Qiu et al.

Efficient Pre-training for Localized Instruction Generation of Procedural Videos

Anil Batra, Davide Moltisanti, Laura Sevilla-Lara et al.

Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion

Jian Ma, Wenguan Wang, Yi Yang et al.

A Bayesian Approach to Online Planning

Nir Greshler, David Ben Eli, Carmel Rabinovitz et al.

Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation

Hritam Basak, Zhaozheng Yin

Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems

Roie Reshef, Kfir Levy

PACE: Pose Annotations in Cluttered Environments

Yang You, kai xiong, Zhening Yang et al.

Adaptive Robust Learning using Latent Bernoulli Variables

Aleksandr Karakulev, Dave Zachariah, Prashant Singh

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection

Harsh Shah, Kashish Mittal, Ajit Rajwade

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression

Yufeng Zhang, Hang Yu, Shizhan Liu et al.

Beyond the Norms: Detecting Prediction Errors in Regression Models

Andres Altieri, Marco Romanelli, Georg Pichler et al.

When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions

Zhening Li, Gabriel Poesia, Armando Solar-Lezama

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models

Tianci Liu, Haoyu Wang, Shiyang Wang et al.

Risk Estimation in a Markov Cost Process: Lower and Upper Bounds

Gugan Chandrashekhar Mallika Thoppe, Prashanth L.A., Sanjay Bhat

High-Dimensional Geometric Streaming for Nearly Low Rank Data

Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni et al.

Perturb-and-Project: Differentially Private Similarities and Marginals

Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto et al.

Data Collection-free Masked Video Modeling

Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki

Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time

Chiao-An Yang, Ziwei Liu, Raymond Yeh

Classification Matters: Improving Video Action Detection with Class-Specific Attention

Jinsung Lee, Taeoh Kim, Inwoong Lee et al.

Open-Domain Text Evaluation via Contrastive Distribution Methods

Sidi Lu, Hongyi Liu, Asli Celikyilmaz et al.

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models

Sidi Lu, Wenbo Zhao, Chenyang Tao et al.

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

Qianlan Yang, Yu-Xiong Wang

Prompt-based Visual Alignment for Zero-shot Policy Transfer

Haihan Gao, Rui Zhang, Qi Yi et al.

Multiscale Graph Texture Network

Ravishankar Evani, Deepu Rajan, Shangbo Mao

Rethinking Unsupervised Outlier Detection via Multiple Thresholding

Zhonghang Liu, Panzhong Lu, Guoyang Xie et al.

AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling

Sherry Chen, Yaron Vaxman, Elad Ben Baruch et al.

DεpS: Delayed ε-Shrinking for Faster Once-For-All Training

Aditya Annavajjala, Alind Khare, Animesh Agrawal et al.

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition

Shreyank Narayana Gowda, Anurag Arnab, Jonathan Huang

Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning

Zhiyu Wu, Jin shi Cui

Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing

haijin zeng, Hiep Luong, Wilfried Philips

DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators

Hanyang Kong, Dongze Lian, Michael Bi Mi et al.

Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning

Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada

Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection

Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara et al.

Open Vocabulary Semantic Scene Sketch Understanding

Ahmed Bourouis, Judith Fan, Yulia Gryaditskaya

Animating General Image with Large Visual Motion Model

Dengsheng Chen, Xiaoming Wei, Xiaolin Wei

Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes

Haobin Duan, Miao Wang, Yanxun Li et al.

Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling

Jiawei Shi, Hui Deng, Yuchao Dai

Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos

Subin Jeon, In Cho, Minsu Kim et al.

BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics

Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu et al.

Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations

By Tying Embeddings You Are Assuming the Distributional Hypothesis

Bertolotti Francesco, Walter Cazzola

3D Congealing: 3D-Aware Image Alignment in the Wild

Yunzhi Zhang, Zizhang Li, Amit Raj et al.

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View

YUJIE MO, Feiping Nie, Ping Hu et al.

On the Unstable Convergence Regime of Gradient Descent

Shuo Chen, Jiaying Peng, Xiaolong Li et al.

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model

Tingchen Fu, lemao liu, Deng Cai et al.

Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation

Homanga Bharadhwaj

Why do Variational Autoencoders Really Promote Disentanglement?

Pratik Bhowal, Achint Soni, Sirisha Rambhatla

Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance

Qi Bi, Shaodi You, Theo Gevers

Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning

Yuxuan Bian, Xuan Ju, Jiangtong Li et al.

Block-Level Goal Recognition Design

VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding

Syed Talal Wasim, Muzammal Naseer, Salman Khan et al.

On the Approximation Risk of Few-Shot Class-Incremental Learning

Xuan Wang, Zhong Ji, Xiyao Liu et al.

Boosting Vanilla Lightweight Vision Transformers via Re-parameterization

Zhentao Tan, Xiaodan Li, Yue Wu et al.

Stability Evaluation through Distributional Perturbation Analysis

Jose Blanchet, Peng Cui, Jiajin Li et al.

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport

Jixiang Yu, Nanjun Chen, Ming Gao et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer et al.

Position: TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang et al.

DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$

Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom et al.

Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms

Eleonora Bonel, Luca Nannini, Davide Bassi et al.

Sheared Backpropagation for Fine-tuning Foundation Models

Zhiyuan Yu, Li Shen, Liang Ding et al.

Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms

Zheng Xing, Weibing Zhao

CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration

Fu-Zhao Ou, Chongyi Li, Shiqi Wang et al.

Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula

Kirill Brilliantov, Fedor Pavutnitskiy, Dmitrii A. Pasechniuk et al.

OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS

Lijia Yu, XIAOSHAN GAO, Lijun Zhang

Locality-Aware Graph Rewiring in GNNs

Federico Barbero, Ameya Velingker, Amin Saberi et al.

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space

Jun Liu, Jiantao Zhou, Jiandian Zeng et al.

Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning

Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou

Langevin Policy for Safe Reinforcement Learning

Fenghao Lei, Long Yang, Shiting Wen et al.

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

Dongyue Guo, Zheng Zhang, Zhen Yan et al.

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network

Tianze Luo, Zhanfeng Mo, Sinno Pan

Discovering Unwritten Visual Classifiers with Large Language Models

Mia Chiquier, Utkarsh Mall, Carl Vondrick

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Xiang Song, Yuhang He, Songlin Dong et al.

Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation

Xiaofeng Yang, Yiwen Chen, Cheng Chen et al.

Learning Quantized Adaptive Conditions for Diffusion Models

Yuchen Liang, Yuchuan Tian, Lei Yu et al.

Whittle Index with Multiple Actions and State Constraint for Inventory Management

Chuheng Zhang, Xiangsen Wang, Wei Jiang et al.

Successor Features for Efficient Multi-Subject Controlled Text Generation

Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung et al.

Limited Preference Aided Imitation Learning from Imperfect Demonstrations

Xingchen Cao, Fan-Ming Luo, Junyin Ye et al.

A Unified Image Compression Method for Human Perception and Multiple Vision Tasks

Sha Guo, Sui Lin, Chen-Lin Zhang et al.

QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters

Yushan Liu, Zili Wang, Ruifeng Yuan

NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization

Gen Li, Lu Yin, Jie Ji et al.

Backdoor Attacks via Machine Unlearning

Zihao Liu, Tianhao Wang, Mengdi Huai et al.

AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose

Huichao Zhang, Bowen Chen, Hao Yang et al.

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu, Yu Zhao, Bingzhe Wu et al.

Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning

Sheng Xu, Guiliang Liu