Most Cited NEURIPS "hierarchical planning framework" Papers

A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

Zicheng Hu, Cheng Chen

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models

Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.

MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling

Jiaming Ma, Binwu Wang, Qihe Huang et al.

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

Xiaodong Wang, Zijun He, Ping Wang et al.

Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference

Yuhong Luo, Austin Hoag, Xintong Wang et al.

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio et al.

Quantitative convergence of trained neural networks to Gaussian processes

Andrea Agazzi, Eloy Mosig García, Dario Trevisan

Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation

Chaohao Yuan, Maoji Wen, Ercan KURUOGLU et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

Taming Adversarial Constraints in CMDPs

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.

Buffer layers for Test-Time Adaptation

Hyeongyu Kim, GeonHui Han, Dosik Hwang

SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback

Bo Lv, Nayu Liu, Chen Tang et al.

FraPPE: Fast and Efficient Preference-Based Pure Exploration

Udvas Das, Apurv Shukla, Debabrota Basu

PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA

Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.

Individual Fairness In Strategic Classification

Zhiqun Zuo, Mohammad Mahdi Khalili

In-Context Compositional Learning vis Sparse Coding Transformer

Wei Chen, Jingxi Yu, Zichen Miao et al.

Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs

Tengyun Ma, Jiaqi Yao, Daojing He et al.

Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates

Seunghyeok Shin, Dabin Kim, Hongki Lim

Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning

Junkai Zhang, Jinmin He, Yifan Zhang et al.

LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts

Zhuo Han, Yi Yang, Yi Feng et al.

FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning

Da Wang, Yi Ma, Ting Guo et al.

Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems

Elfarouk Harb, Yousef Yassin, Chandra Chekuri

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval

Wenhao Li, Yuxin Zhang, Gen Luo et al.

Greed is Good: A Unifying Perspective on Guided Generation

Zander W. Blasingame, Chen Liu

NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input

Wenbo Li, Yan Xu, Mingde Yao et al.

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts

James Chapman, Kedar Karhadkar, Guido Montufar

Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization

Weiming Liu, Xinting Liao, Jun Dan et al.

Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem

Elvis Dohmatob

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction

Xiuning Zhang, Xincheng Lu, Nihong Chen et al.

Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis

Bochen Lyu, Xiaojing Zhang, Fangyi Zheng et al.

Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets

Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong, Yuheng Tu, Michael Hardy et al.

FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

Xunzhao Yu

SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography

Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.

On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls

Emmeran Johnson, David Martinez-Rubio, Ciara Pike-Burke et al.

Impartial Selection with Predictions

Rethinking PCA Through Duality

Jan Quan, Johan Suykens, Panagiotis Patrinos

ConnectomeBench: Can LLMs proofread the connectome?

Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.

A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances

Zichong Wang, Zhipeng Yin, Wenbin Zhang

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization

Da Chang, Ganzhao Yuan

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

Language Ranker: A Lightweight Ranking framework for LLM Decoding

Chenheng Zhang, Tianqi Du, Jizhe Zhang et al.

Generalization Bounds for Rank-sparse Neural Networks

Antoine Ledent, Rodrigo Alves, Yunwen Lei

On Agnostic PAC Learning in the Small Error Regime

Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

Xiangqi Wang, Yue Huang, Yanbo Wang et al.

FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing

Binrui Shen, LiangYuan, Shengxin Zhu

PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors

Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman et al.

EyeBench: Predictive Modeling from Eye Movements in Reading

Omer Shubi, David Robert Reich, Keren Gruteke Klein et al.

ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs

Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay et al.

Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation

Dail Kim, Joon-Hyuk Chang

DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series

Yifan WANG, Hongfeng Ai, ruiqi li et al.