Most Cited 2024 "active vision" Papers

Revisiting Data Augmentation in Deep Reinforcement Learning

Jianshu Hu, Yunpeng Jiang, Paul Weng

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Xingyao Wang, Zihan Wang, Jiateng Liu et al.

Generative Judge for Evaluating Alignment

Junlong Li, Shichao Sun, Weizhe Yuan et al.

Demystifying Linear MDPs and Novel Dynamics Aggregation Framework

Joongkyu Lee, Min-hwan Oh

Language Modeling Is Compression

Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Dustin Podell, Zion English, Kyle Lacey et al.

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Stephanie Fu, Mark Hamilton, Laura E. Brandt et al.

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha DuTell, Mark Hamilton et al.

CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech

Jaehyeon Kim, Keon Lee, Seungjun Chung et al.

Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs

Qihan Ren, Jiayang Gao, Wen Shen et al.

Enhanced Face Recognition using Intra-class Incoherence Constraint

Yuanqing Huang, Yinggui Wang, Le Yang et al.

Global Optimality for Non-linear Constrained Restoration Problems via Invexity

Samuel Pinilla, Jeyan Thiyagalingam

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

Changyao Tian, Chenxin Tao, Jifeng Dai et al.

Towards Understanding Sycophancy in Language Models

Mrinank Sharma, Meg Tong, Tomek Korbak et al.

Learning to reconstruct signals from binary measurements alone

Laurent Jacques, Julián Tachella

$\pi$2vec: Policy Representation with Successor Features

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci et al.

On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods

Montgomery Bohde, Meng Liu, Alexandra Saxton et al.

Matrix Manifold Neural Networks++

Xuan Son Nguyen, Yang, Aymeric Histace

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot et al.

Personalize Segment Anything Model with One Shot

Renrui Zhang, Zhengkai Jiang, Ziyu Guo et al.

A Branching Decoder for Set Generation

Zixian Huang, Gengyang Xiao, Yu Gu et al.

Estimating Shape Distances on Neural Representations with Limited Samples

Dean Pospisil, Brett Larsen, Sarah Harvey et al.

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Zhenting Wang, Chen Chen, Lingjuan Lyu et al.

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

LU YU, Avetik Karagulyan, Arnak Dalalyan

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

Ziyao Wang, Jianyu Wang, Ang Li

Goodhart's Law in Reinforcement Learning

Jacek Karwowski, Oliver Hayman, Xingjian Bai et al.

COLLIE: Systematic Construction of Constrained Text Generation Tasks

Shunyu Yao, Howard Chen, Austin Hanjie et al.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

Carlos E Jimenez, John Yang, Alexander Wettig et al.

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing

Ling Yang, Zhilong Zhang, Zhaochen Yu et al.

Quantifying Network Similarity using Graph Cumulants

Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis et al.

Feature emergence via margin maximization: case studies in algebraic tasks

Depen Morwani, Benjamin Edelman, Costin-Andrei Oncescu et al.

Confidential-DPproof: Confidential Proof of Differentially Private Training

Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere et al.

Neural Active Learning Beyond Bandits

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

xue wang, Tian Zhou, Qingsong Wen et al.

Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin SU, Chen Xing et al.

Window Attention is Bugged: How not to Interpolate Position Embeddings

Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.

Sharpness-Aware Data Poisoning Attack

Pengfei He, Han Xu, Jie Ren et al.

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

Oren Mangoubi, Nisheeth Vishnoi

Learning to Reject with a Fixed Predictor: Application to Decontextualization

Christopher Mohri, Daniel Andor, Eunsol Choi et al.

Dynamic Neural Response Tuning

Tian Qiu, Xu Wenxiang, lin chen et al.

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Guocheng Qian, Jinjie Mai, Abdullah Hamdi et al.

Counting Graph Substructures with Graph Neural Networks

Charilaos Kanatsoulis, Alejandro Ribeiro

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Geyang Guo, Ranchi Zhao, Tianyi Tang et al.

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

Zoology: Measuring and Improving Recall in Efficient Language Models

Simran Arora, Sabri Eyuboglu, Aman Timalsina et al.

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi et al.

Holistic Evaluation of Language Models

Jue Wang, Lucia Zheng, Nathan Kim et al.

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization

Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy et al.

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Haoxuan Li, Chunyuan Zheng, Sihao Ding et al.

Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Hubert Siuzdak

SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet et al.

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Xingchao Liu, Xiwen Zhang, Jianzhu Ma et al.

Large Language Models to Enhance Bayesian Optimization

Tennison Liu, Nicolás Astorga, Nabeel Seedat et al.

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks

Anna Bair, Hongxu Yin, Maying Shen et al.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi et al.

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging

Shiqiang Wang, Mingyue Ji

Horizon-Free Regret for Linear Markov Decision Processes

Zihan Zhang, Jason Lee, Yuxin Chen et al.

Kernelised Normalising Flows

Eshant English, Matthias Kirchler, Christoph Lippert

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks

Suhwan Choi, Myeongho Jeon, Yeonjung Hwang et al.

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan et al.

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Juncai He, Xinliang Liu, Jinchao Xu

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.

Neural Polynomial Gabor Fields for Macro Motion Analysis

Chen Geng, Koven Yu, Sida Peng et al.

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Xinyue Xu, Yi Qin, Lu Mi et al.

Large Language Models as Optimizers

Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation

Jiyang Zheng, Yu Yao, Bo Han et al.

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Chris Cundy, Stefano Ermon

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Arvind Mahankali, Tatsunori Hashimoto, Tengyu Ma

Incentivized Truthful Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Tianze Ren et al.

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang et al.

On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection

Chaohua Shi, Kexin Huang, Lu Gan et al.

$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity

Cristian Meo, Louis Mahon, Anirudh Goyal et al.

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

Hwanwoo Kim, Xin Zhang, Jiwei Zhao et al.

Stochastic Gradient Descent for Gaussian Processes Done Right

Jihao Andreas Lin, Shreyas Padhy, Javier Antorán et al.

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions

Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering

Jiaxin Lu, Zetian Jiang, Tianzhe Wang et al.

The Update-Equivalence Framework for Decision-Time Planning

Samuel Sokota, Gabriele Farina, David Wu et al.

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang et al.

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging

Max Zimmer, Christoph Spiegel, Sebastian Pokutta

Federated Text-driven Prompt Generation for Vision-Language Models

Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi et al.

Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning

Murong Yue, Jie Zhao, Min Zhang et al.

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules

Hung Le, Hailin Chen, Amrita Saha et al.

Expressivity of ReLU-Networks under Convex Relaxations

Maximilian Baader, Mark N Müller, Yuhao Mao et al.

GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING

DINGYUAN SHI, Yongxin Tong, Zimu Zhou et al.

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design

Heng Dong, Junyu Zhang, Chongjie Zhang

Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation

Tuan Le, Julian Cremer, Frank Noe et al.

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Yang Liu, Muzhi Zhu, Hengtao Li et al.

Ferret: Refer and Ground Anything Anywhere at Any Granularity

Haoxuan You, Haotian Zhang, Zhe Gan et al.

Demonstration-Regularized RL

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.

How do Language Models Bind Entities in Context?

Jiahai Feng, Jacob Steinhardt

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks

Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.

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.

Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks

Greg Yang, Dingli Yu, Chen Zhu et al.

Complete and Efficient Graph Transformers for Crystal Material Property Prediction

Keqiang Yan, Cong Fu, Xiaofeng Qian et al.

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches

Lingxuan Wu, Xiao Yang, Yinpeng Dong et al.

$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation

Yining Jiao, Carlton ZDANSKI, Julia Kimbell et al.

Towards Offline Opponent Modeling with In-context Learning

Yuheng Jing, Kai Li, Bingyun Liu et al.

Hybrid Directional Graph Neural Network for Molecules

Junyi An, Chao Qu, Zhipeng Zhou et al.

Course Correcting Koopman Representations

Mahan Fathi, Clement Gehring, Jonathan Pilault et al.

DreamClean: Restoring Clean Image Using Deep Diffusion Prior

Jie Xiao, Ruili Feng, Han Zhang et al.

Probabilistic Adaptation of Black-Box Text-to-Video Models

Sherry Yang, Yilun Du, Bo Dai et al.

Concept Bottleneck Generative Models

Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.

Robust Model-Based Optimization for Challenging Fitness Landscapes

Saba Ghaffari, Ehsan Saleh, Alex Schwing et al.

An interpretable error correction method for enhancing code-to-code translation

Min Xue, Artur Andrzejak, Marla Leuther

NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis

Dong Wei, Huaijiang Sun, Bin Li et al.

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration

Yujia Wang, Yuanpu Cao, Jingcheng Wu et al.

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems

Jacob Prince, Gabriel Fajardo, George Alvarez et al.

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

Zeren Chen, ziqin wang, zhen wang et al.

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

What Algorithms can Transformers Learn? A Study in Length Generalization

Hattie Zhou, Arwen Bradley, Etai Littwin et al.

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

Yinbin Han, Meisam Razaviyayn, Renyuan Xu

Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime

Keita Suzuki, Taiji Suzuki

On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks

Zi Wang, Bin Hu, Aaron Havens et al.

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification

Joar Skalse, Alessandro Abate

Neural Processing of Tri-Plane Hybrid Neural Fields

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

Debiasing Attention Mechanism in Transformer without Demographics

Shenyu Lu, Yipei Wang, Xiaoqian Wang

Image Translation as Diffusion Visual Programmers

Cheng Han, James Liang, Qifan Wang et al.

Adversarial Imitation Learning via Boosting

Jonathan Chang, Dhruv Sreenivas, Yingbing Huang et al.

Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information

Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan et al.

Provable Reward-Agnostic Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Tianbao Xie, Siheng Zhao, Chen Henry Wu et al.

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion

Alexandru Meterez, Amir Joudaki, Francesco Orabona et al.

Negative Label Guided OOD Detection with Pretrained Vision-Language Models

Xue JIANG, Feng Liu, Zhen Fang et al.

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration

Hangting Ye, Wei Fan, Xiaozhuang Song et al.

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Junjie Oscar Yin, Yingheng Wang, Volodymyr Kuleshov et al.

AutoVP: An Automated Visual Prompting Framework and Benchmark

Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen et al.

Information Retention via Learning Supplemental Features

Zhipeng Xie, Yahe Li

Learning Multi-Agent Communication with Contrastive Learning

Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster et al.

Xformer: Hybrid X-Shaped Transformer for Image Denoising

Jiale Zhang, Yulun Zhang, Jinjin Gu et al.

Dynamics-Informed Protein Design with Structure Conditioning

Urszula Julia Komorowska, Simon Mathis, Kieran Didi et al.

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Jiacheng Chen, Zeyuan Ma, Hongshu Guo et al.

Graph Lottery Ticket Automated

Guibin Zhang, Kun Wang, Wei Huang et al.

Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning

Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie et al.

AdaMerging: Adaptive Model Merging for Multi-Task Learning

Enneng Yang, Zhenyi Wang, Li Shen et al.

Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming

Yubo Zhuang, Xiaohui Chen, Yun Yang et al.

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Fred Zhang, Neel Nanda

Towards Principled Representation Learning from Videos for Reinforcement Learning

Dipendra Kumar Misra, Akanksha Saran, Tengyang Xie et al.

Expected flow networks in stochastic environments and two-player zero-sum games

Marco Jiralerspong, Bilun Sun, Danilo Vucetic et al.

Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization

Guang Lin, Chao Li, Jianhai Zhang et al.

Large Language Models as Generalizable Policies for Embodied Tasks

Andrew Szot, Max Schwarzer, Harsh Agrawal et al.

Fast Equilibrium of SGD in Generic Situations

Zhiyuan Li, Yi Wang, Zhiren Wang

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data

Yuhui Zhang, Elaine Sui, Serena Yeung

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

TIANYUAN ZOU, Zixuan GU, Yu He et al.

MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data

Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.

CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding

Qiongyi Zhou, Changde Du, Shengpei Wang et al.

Transformers can optimally learn regression mixture models

Reese Pathak, Rajat Sen, Weihao Kong et al.

SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series

Junyan Cheng, Peter Chin

A Mutual Information Perspective on Federated Contrastive Learning

Christos Louizos, Matthias Reisser, Denis Korzhenkov

Faithful Vision-Language Interpretation via Concept Bottleneck Models

Songning Lai, Lijie Hu, Junxiao Wang et al.

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits

Qiwei Di, Tao Jin, Yue Wu et al.

A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines

Manju Garimella, Denizhan Pak, Justin Wood et al.

DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training

AOCHUAN CHEN, Yimeng Zhang, Jinghan Jia et al.

Unveiling the Pitfalls of Knowledge Editing for Large Language Models

Zhoubo Li, Ningyu Zhang, Yunzhi Yao et al.

Robustifying and Boosting Training-Free Neural Architecture Search

Zhenfeng He, Yao Shu, Zhongxiang Dai et al.

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes

Shikai Fang, Madison Cooley, Da Long et al.

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang et al.

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.

MaGIC: Multi-modality Guided Image Completion

Hao Wang, Yongsheng Yu, Tiejian Luo et al.

An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models

Haochen Luo, Jindong Gu, Fengyuan Liu et al.

Fast Value Tracking for Deep Reinforcement Learning

Frank Shih, Faming Liang

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya Ezzeldin et al.

Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions

Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Hanan Gani, Shariq Bhat, Muzammal Naseer et al.

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Xuan Ju, Ailing Zeng, Yuxuan Bian et al.

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

Ziqi Wang, Chengpeng Hu, Jialin Liu et al.

ASID: Active Exploration for System Identification in Robotic Manipulation

Marius Memmel, Andrew Wagenmaker, Chuning Zhu et al.

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows

Dongjin Kim, Donggoo Jung, Sungyong Baik et al.

Generative Adversarial Equilibrium Solvers

Denizalp Goktas, David Parkes, Ian Gemp et al.

FedImpro: Measuring and Improving Client Update in Federated Learning

Zhenheng Tang, Yonggang Zhang, Shaohuai Shi et al.

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models

Shuai Fu, Shuai Fu, Xiequn Wang et al.

FasterViT: Fast Vision Transformers with Hierarchical Attention

Ali Hatamizadeh, Greg Heinrich, Hongxu Yin et al.

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Jingxiang Sun, Bo Zhang, Ruizhi Shao et al.

P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering

Chuyu Zhang, Hui Ren, Xuming He

A Unified Framework for Bayesian Optimization under Contextual Uncertainty

Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano et al.

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Bowen Song, Soo Min Kwon, Zecheng Zhang et al.

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields

Moyang Li, Peng Wang, Lingzhe Zhao et al.

Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations

yisheng xiao, Juntao Li, Zechen Sun et al.

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance

Yuyao Zhang, Lan Wei, Nikolaos Freris

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

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

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Wenlong Zhang, Xiaohui Li, Xiangyu Chen et al.

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time

Chenhui Deng, Zichao Yue, Zhiru Zhang

A Differentially Private Clustering Algorithm for Well-Clustered Graphs

Weiqiang He, Hendrik Fichtenberger, Pan Peng

Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency

Yannis Kalantidis, Mert Bulent SARIYILDIZ, Rafael Rezende et al.

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Nishant Yadav, Nicholas Monath, Manzil Zaheer et al.

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests

Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami et al.

PhyloGFN: Phylogenetic inference with generative flow networks

MING YANG ZHOU, Zichao Yan, Elliot Layne et al.

Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images

Kuofeng Gao, Yang Bai, Jindong Gu et al.

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Paul Liang, Chun Kai Ling, Yun Cheng et al.

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Yeda Song, Dongwook Lee, Gunhee Kim

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes

Jiawei Sun, Kailai Li, Ruoxin Chen et al.

A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model

Zecheng Hao, Xinyu Shi, Zihan Huang et al.

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

Yang Yang, Wenhai Wang, Zhe Chen et al.

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu et al.