Most Cited ICLR "zero-shot matching" Papers

$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence

Juno Kim, Jaehyuk Kwon, Mincheol Cho et al.

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

Xinyue Wang, Biwei Huang

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models

Qiushi Huang, Tom Ko, Zhan ZHUANG et al.

Sharpness-Aware Black-Box Optimization

Feiyang YE, YUEMING LYU, Xuehao Wang et al.

Better Instruction-Following Through Minimum Bayes Risk

Ian Wu, Patrick Fernandes, Amanda Bertsch et al.

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

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

Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization

Hansi Yang, James Kwok

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

Yu-Zhe Shi, Mingchen Liu, Fanxu Meng et al.

Provable Reward-Agnostic Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks

Shida Wang, Zhong Li, Qianxiao Li

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling

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

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

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Alireza Mousavi-Hosseini, Denny Wu, Murat A Erdogdu

Adversarial Imitation Learning via Boosting

Jonathan Chang, Dhruv Sreenivas, Yingbing Huang et al.

Sensitivity-Aware Amortized Bayesian Inference

Lasse Elsemüller, Hans Olischläger, Marvin Schmitt et al.

Image Translation as Diffusion Visual Programmers

Cheng Han, James Liang, Qifan Wang et al.

Why In-Context Learning Models are Good Few-Shot Learners?

Shiguang Wu, Yaqing Wang, Quanming Yao

Debiasing Attention Mechanism in Transformer without Demographics

Shenyu Lu, Yipei Wang, Xiaoqian Wang

Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion

Xingqun Qi, Yatian Wang, Hengyuan Zhang et al.

Latent Action Pretraining from Videos

Seonghyeon Ye, Joel Jang, Byeongguk Jeon et al.

Neural Processing of Tri-Plane Hybrid Neural Fields

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

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification

Joar Skalse, Alessandro Abate

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

Zi Wang, Bin Hu, Aaron Havens et al.

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

Keita Suzuki, Taiji Suzuki

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

Hang Chen, Chufeng Tang, Xiao Li et al.

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models

Chuan Liu, Chunshu Wu, shihui cao et al.

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision

Mateusz Pach, Koryna Lewandowska, Jacek Tabor et al.

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware

Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

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

Yinbin Han, Meisam Razaviyayn, Renyuan Xu

What Algorithms can Transformers Learn? A Study in Length Generalization

Hattie Zhou, Arwen Bradley, Etai Littwin et al.

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

Cevahir Koprulu, Franck Djeumou, ufuk topcu

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets

Xu Wang, Fuyou Miao, Wenjie Liu et al.

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

Provable Uncertainty Decomposition via Higher-Order Calibration

Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan et al.

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

Zeren Chen, ziqin wang, zhen wang et al.

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Dongyoung Kim, Kimin Lee, Jinwoo Shin et al.

Understanding Addition in Transformers

Philip Quirke, Fazl Barez

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition

Yufan Hu, Jiang, Wuyang Li 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.

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

Yujia Wang, Yuanpu Cao, Jingcheng Wu et al.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Tuan Truong, Rithwik Sudharsan, Yibo Yang et al.

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Jaehong Yoon, Shoubin Yu, Vaidehi Ramesh Patil et al.

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.

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

Dong Wei, Huaijiang Sun, Bin Li et al.

Following the Human Thread in Social Navigation

Luca Scofano, Alessio Sampieri, Tommaso Campari et al.

Population Transformer: Learning Population-level Representations of Neural Activity

Geeling Chau, Christopher Wang, Sabera Talukder et al.

PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri et al.

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

Min Xue, Artur Andrzejak, Marla Leuther

Robust Model-Based Optimization for Challenging Fitness Landscapes

Saba Ghaffari, Ehsan Saleh, Alex Schwing et al.

Concept Bottleneck Generative Models

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

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

Sherry Yang, Yilun Du, Bo Dai et al.

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

Beining Yang, Qingyun Sun, Cheng Ji et al.

DreamClean: Restoring Clean Image Using Deep Diffusion Prior

Jie Xiao, Ruili Feng, Han Zhang et al.

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Han-Hung Lee, Yiming Zhang, Angel Chang

Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?

Charles Dawson, Van Tran, Max Li et al.

Course Correcting Koopman Representations

Mahan Fathi, Clement Gehring, Jonathan Pilault et al.

Hybrid Directional Graph Neural Network for Molecules

Junyi An, Chao Qu, Zhipeng Zhou et al.

FairDen: Fair Density-Based Clustering

Lena Krieger, Anna Beer, Pernille Matthews et al.

Towards Offline Opponent Modeling with In-context Learning

Yuheng Jing, Kai Li, Bingyun Liu et al.

Discrete Copula Diffusion

Anji Liu, Oliver Broadrick, Mathias Niepert et al.

Learn hybrid prototypes for multivariate time series anomaly detection

Ke-Yuan Shen

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

Yining Jiao, Carlton ZDANSKI, Julia Kimbell et al.

Transformer Block Coupling and its Correlation with Generalization in LLMs

Murdock Aubry, Haoming Meng, Anton Sugolov et al.

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches

Lingxuan Wu, Xiao Yang, Yinpeng Dong et al.

Complete and Efficient Graph Transformers for Crystal Material Property Prediction

Keqiang Yan, Cong Fu, Xiaofeng Qian et al.

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration

Zhe Wu, Haofei Lu, Junliang Xing et al.

Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks

Greg Yang, Dingli Yu, Chen Zhu 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.

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

Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.

How do Language Models Bind Entities in Context?

Jiahai Feng, Jacob Steinhardt

Demonstration-Regularized RL

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.

Ferret: Refer and Ground Anything Anywhere at Any Granularity

Haoxuan You, Haotian Zhang, Zhe Gan et al.

Aligned LLMs Are Not Aligned Browser Agents

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar et al.

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

Yang Liu, Muzhi Zhu, Hengtao Li et al.

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

Tuan Le, Julian Cremer, Frank Noe et al.

Sensitivity Verification for Additive Decision Tree Ensembles

Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta et al.

An Undetectable Watermark for Generative Image Models

Samuel Gunn, Xuandong Zhao, Dawn Song

Differentiable Causal Discovery for Latent Hierarchical Causal Models

Parjanya Prashant, Ignavier Ng, Kun Zhang et al.

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design

Heng Dong, Junyu Zhang, Chongjie Zhang

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees

Yingzhen Yang, Ping Li

Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics

Alberto Pepe, Mattia Montanari, Joan Lasenby

Problem-Parameter-Free Federated Learning

Wenjing Yan, Kai Zhang, Xiaolu Wang et al.

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

DINGYUAN SHI, Yongxin Tong, Zimu Zhou et al.

Progressive distillation induces an implicit curriculum

Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi et al.

Expressivity of ReLU-Networks under Convex Relaxations

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

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

Hung Le, Hailin Chen, Amrita Saha et al.

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

Murong Yue, Jie Zhao, Min Zhang et al.

Federated Text-driven Prompt Generation for Vision-Language Models

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

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Sanjiban Choudhury, Paloma Sodhi

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

Max Zimmer, Christoph Spiegel, Sebastian Pokutta

Self-Improving Robust Preference Optimization

Eugene Choi, Arash Ahmadian, Matthieu Geist et al.

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang et al.

The Update-Equivalence Framework for Decision-Time Planning

Samuel Sokota, Gabriele Farina, David Wu et al.

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

Jiaxin Lu, Zetian Jiang, Tianzhe Wang et al.

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Shengjie Ma, Chengjin Xu, Xuhui Jiang et al.

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization

Zeou Hu, Yaoliang Yu

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions

Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

Stochastic Gradient Descent for Gaussian Processes Done Right

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

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

Hwanwoo Kim, Xin Zhang, Jiwei Zhao et al.

On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions

Omer Madmon, Idan Pipano, Itamar Jacob Reinman et al.

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

Cristian Meo, Louis Mahon, Anirudh Goyal et al.

ToolGen: Unified Tool Retrieval and Calling via Generation

Renxi Wang, Xudong Han, Lei Ji et al.

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

Najwa Laabid, Severi Rissanen, Markus Heinonen et al.

Towards a Complete Logical Framework for GNN Expressiveness

Tuo Xu

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Zachary Ankner, Cody Blakeney, Kartik Sreenivasan et al.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Yushu Li, Yongyi Su, Adam Goodge et al.

Matérn Kernels for Tunable Implicit Surface Reconstruction

Maximilian Weiherer, Bernhard Egger

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics

Zaige Fei, Fan Xu, Junyuan Mao et al.

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

Chaohua Shi, Kexin Huang, Lu Gan et al.

CameraCtrl: Enabling Camera Control for Video Diffusion Models

Hao He, Yinghao Xu, Yuwei Guo 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.

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu et al.

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Pengyang Ling, Jiazi Bu, Pan Zhang et al.

Incentivized Truthful Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Tianze Ren et al.

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

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Chris Cundy, Stefano Ermon

ACES: Automatic Cohort Extraction System for Event-Stream Datasets

Justin Xu, Jack Gallifant, ALISTAIR JOHNSON et al.

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

Jiyang Zheng, Yu Yao, Bo Han et al.

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models

Aniruddha Kembhavi, Mohit Bansal, Amita Kamath et al.

See It from My Perspective: How Language Affects Cultural Bias in Image Understanding

Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal et al.

Large Language Models as Optimizers

Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.

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

Xinyue Xu, Yi Qin, Lu Mi et al.

Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression

Amit Chakrabarti, Jeffrey Jiang, David Woodruff et al.

Neural Polynomial Gabor Fields for Macro Motion Analysis

Chen Geng, Koven Yu, Sida Peng et al.

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Juncai He, Xinliang Liu, Jinchao Xu

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin et al.

How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization

Nuoya Xiong, Lijun Ding, Simon Du

Coreset Spectral Clustering

Ben Jourdan, Gregory Schwartzman, Peter Macgregor et al.

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

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

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks

Suhwan Choi, Myeongho Jeon, Yeonjung Hwang et al.

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods

Buelent Uendes, Shujian Yu, Mark Hoogendoorn

Kernelised Normalising Flows

Eshant English, Matthias Kirchler, Christoph Lippert

Horizon-Free Regret for Linear Markov Decision Processes

Zihan Zhang, Jason Lee, Yuxin Chen et al.

Learning Continually by Spectral Regularization

Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar et al.

MGDA Converges under Generalized Smoothness, Provably

Qi Zhang, Peiyao Xiao, Shaofeng Zou et al.

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging

Shiqiang Wang, Mingyue Ji

Bayesian Regularization of Latent Representation

Chukwudi Paul Obite, Zhi Chang, Keyan Wu et al.

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors

Chen Ma, Xinjie Xu, Shuyu Cheng et al.

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

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi et al.

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks

Anna Bair, Hongxu Yin, Maying Shen et al.

Large Language Models to Enhance Bayesian Optimization

Tennison Liu, Nicolás Astorga, Nabeel Seedat et al.

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

Xingchao Liu, Xiwen Zhang, Jianzhu Ma et al.

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin

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

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

DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.

Ke Wang, Shay B Cohen

Open-Source vs Close-Source: The Context Utilization Challenge

Litu Ou

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling

Louis Bradshaw, Simon Colton

Variational Bayesian Pseudo-Coreset

Hyungi Lee, Seungyoo Lee, Juho Lee

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

Hubert Siuzdak

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML

Ryan McKenna

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

Haoxuan Li, Chunyuan Zheng, Sihao Ding et al.

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

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

BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis

Tiankuo Chu, Fudong Lin, Shubo Wang et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

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

YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

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

Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.

ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation

Ze Yang, Shichao Dong, Ruibo Li et al.

Holistic Evaluation of Language Models

Jue Wang, Lucia Zheng, Nathan Kim et al.

Flow With What You Know

Scott Hawley

Difference-of-submodular Bregman Divergence

Masanari Kimura, Takahiro Kawashima, Tasuku Soma et al.

Differential learning kinetics govern the transition from memorization to generalization during in-context learning

Alex Nguyen, Gautam Reddy Nallamala

GameGen-X: Interactive Open-world Game Video Generation

Haoxuan Che, Xuanhua He, Quande Liu et al.

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Shijie Chen, Bernal Jimenez Gutierrez, Yu Su

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi et al.

Zoology: Measuring and Improving Recall in Efficient Language Models

Simran Arora, Sabri Eyuboglu, Aman Timalsina et al.

Parametric Augmentation for Time Series Contrastive Learning

Xu Zheng, Tianchun Wang, Wei Cheng et al.

On the Effect of Batch Size in Byzantine-Robust Distributed Learning

Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Geyang Guo, Ranchi Zhao, Tianyi Tang et al.

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny et al.

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control

Devdhar Patel, Hava Siegelmann

Large Scale Knowledge Washing

Yu Wang, Ruihan Wu, Zexue He et al.

Counting Graph Substructures with Graph Neural Networks

Charilaos Kanatsoulis, Alejandro Ribeiro

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

Guocheng Qian, Jinjie Mai, Abdullah Hamdi et al.

Dynamic Neural Response Tuning

Tian Qiu, Xu Wenxiang, lin chen et al.

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features

Feng Ji, Yanan Zhao, KAI ZHAO et al.

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models

Tanqiu Jiang, Changjiang Li, Fenglong Ma et al.

Modeling dynamic social vision highlights gaps between deep learning and humans

Kathy Garcia, Emalie McMahon, Colin Conwell et al.

MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling

Rachel Teo, Tan Nguyen

Learning to Reject with a Fixed Predictor: Application to Decontextualization

Christopher Mohri, Daniel Andor, Eunsol Choi et al.

Transformer Meets Twicing: Harnessing Unattended Residual Information

Laziz Abdullaev, Tan Nguyen

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing XUE et al.

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

Oren Mangoubi, Nisheeth Vishnoi

Sharpness-Aware Data Poisoning Attack

Pengfei He, Han Xu, Jie Ren et al.

Window Attention is Bugged: How not to Interpolate Position Embeddings

Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Xiaoxin He, Xavier Bresson, Thomas Laurent et al.

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin SU, Chen Xing et al.

Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.

Inverse Attention Agents for Multi-Agent Systems

Qian Long, Ruoyan Li, Minglu Zhao et al.

SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization

Jianting Yang, Srecko Durasinovic, Jean Bernard Lasserre et al.

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

xue wang, Tian Zhou, Qingsong Wen et al.

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh et al.

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies

Jian Gao, Weidong Cao, Junyi Yang et al.

The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD

Milad Nasr, Thomas Steinke, Borja Balle et al.