Most Cited NEURIPS "active regression" Papers
5,858 papers found • Page 18 of 30
Conference
Best-of-N Jailbreaking
John Hughes, Sara Price, Aengus Lynch et al.
HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild
Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno et al.
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang, Shuo He, Haobo Wang et al.
Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
Eunseo Koh, Sangeek Hyun, MinKyu Lee et al.
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Xuying Zhang et al.
How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
Yanbiao Ji, Yue Ding, Dan Luo et al.
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
Songhao Han, Boxiang Qiu, Yue Liao et al.
Flat Channels to Infinity in Neural Loss Landscapes
Flavio Martinelli, Alexander van Meegen, Berfin Simsek et al.
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu, Xinyi Yang, Jiayu Zhan et al.
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.
Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models
Xinran Wang, Jin Du, Azal Khan et al.
RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages
Saurabh Kumar, Abhayjeet Singh, DEEKSHITHA G et al.
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models
Zitao Yang, Amin Ullah, Shuai Li et al.
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
Ozgur Kara, Harris Nisar, James Rehg
Variational Polya Tree
Lu Xu, Tsai Hor Chan, Lequan Yu et al.
PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
Long Li, Wanghu Chen, Wencheng Zhang et al.
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
Ruiping Liu, Junwei Zheng, Yufan Chen et al.
Constant Bit-size Transformers Are Turing Complete
Qian Li, Yuyi Wang
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
Absence Bench: Language Models Can’t See What’s Missing
Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.
Social World Model-Augmented Mechanism Design Policy Learning
Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
Regional Explanations: Bridging Local and Global Variable Importance
Salim I. Amoukou, Nicolas Brunel
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier et al.
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
Bozhou Zhang, Nan Song, jingyu li et al.
Flexible Realignment of Language Models
Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.
LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
Huiyang Shao, Xin Xia, Yuxi Ren et al.
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
Understanding and Rectifying Safety Perception Distortion in VLMs
Xiaohan Zou, Jian Kang, George Kesidis et al.
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
Charles W J Pugh, Paulina Nuñez-Valencia, Mafalda Dias et al.
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
jingfeng Guo, Jian Liu, Jinnan Chen et al.
Instance-Optimality for Private KL Distribution Estimation
Jiayuan Ye, Vitaly Feldman, Kunal Talwar
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
Tara Akhound-Sadegh, Jungyoon Lee, Joey Bose et al.
Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
Haochen Zhang, Junze Yin, Guanchu Wang et al.
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
How many measurements are enough? Bayesian recovery in inverse problems with general distributions
Ben Adcock, Zi Yuan (Nick) Huang
Efficient Last-Iterate Convergence in Solving Extensive-Form Games
Linjian Meng, Tianpei Yang, Youzhi Zhang et al.
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik et al.
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
Shristi Das Biswas, Arani Roy, Kaushik Roy
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start
Fuyang Liu, Jiaqi Xu, Xiaowei Hu
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park et al.
SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
Yuzhou Nie, Zhun Wang, Yu Yang et al.
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
Dongkwan Lee, JunHoo Lee, Nojun Kwak
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Kai He, Ruofan Liang, Jacob Munkberg et al.
Multi-Class Support Vector Machine with Differential Privacy
Jinseong Park, Yujin Choi, Jaewook Lee
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li et al.
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation
Matteo Ceriscioli, Karthika Mohan
Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model
Yicong Chen, Jiahua Rao, Jiancong Xie et al.
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
Yujun Kim, Chaewon Moon, Chulhee Yun
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
Tangwen Qian, Junhe Li, Yile Chen et al.
Vocabulary-Guided Gait Recognition
Panjian Huang, Saihui Hou, Chunshui Cao et al.
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
Ning Gao, Xiuhui Zhang, Xingyu Jiang et al.
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
Mirali Purohit, Bimal Gajera, Vatsal Malaviya et al.
NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods
Chengdong Dong, B. V. K. Vijaya Kumar, Zhenyu Zhou et al.
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
Meilong Xu, Xiaoling Hu, Shahira Abousamra et al.
Mamba Modulation: On the Length Generalization of Mamba Models
Peng Lu, Jerry Huang, QIUHAO Zeng et al.
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li et al.
Streaming Stochastic Submodular Maximization with On-Demand User Requests
Honglian Wang, Sijing Tu, Lutz Oettershagen et al.
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
Hui Chen, Miao Xiong, Yujie Lu et al.
Image Super-Resolution with Guarantees via Conformalized Generative Models
Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
FLAME: Fast Long-context Adaptive Memory for Event-based Vision
Biswadeep Chakraborty, Saibal Mukhopadhyay
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
Yang Zhang, Rui Zhang, Jiaming Guo et al.
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang et al.
The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
Yihua Zhang, Changsheng Wang, Yiwei Chen et al.
Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
Shaoang Li, Jian Li
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Constrained Best Arm Identification
Tyron Lardy, Christina Katsimerou, Wouter Koolen
MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
Rongchao Zhang, Yu Huang, Yongzhi Cao et al.
3D Interaction Geometric Pre-training for Molecular Relational Learning
Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
Hadi Askari, Shivanshu Gupta, Fei Wang et al.
Can NeRFs "See" without Cameras?
Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
Lexiang Xiong, Liu Chengyu, Jingwen Ye et al.
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts
Linfeng Tang, Yeda Wang, Zhanchuan Cai et al.
Unified all-atom molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett et al.
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
Jun Jiang, Zijin Yang, Weiming Zhang et al.
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
Chunlong Xie, Kangjie Chen, Shangwei Guo et al.
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang, Xiangteng Zhang, Yinuo Wang et al.
On the Edge of Memorization in Diffusion Models
Sam Buchanan, Druv Pai, Yi Ma et al.
PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration
Songhao Wu, Ang Lv, xiao feng et al.
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
Wei Huang, Andi Han, Yujin Song et al.
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
Marzieh Ajirak, Oded Bein, Ellen Bowen et al.
The Indra Representation Hypothesis
Jianglin Lu, Hailing Wang, Kuo Yang et al.
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun, Feidi Liu, Zhengming Ding et al.
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans
Huiyi Wang, Chun Kwang Tan, Balint Hodossy et al.
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo, Han Hou, Will Dabney et al.
Multi-agent Markov Entanglement
Shuze Chen, Tianyi Peng
Learning Juntas under Markov Random Fields
Gautam Chandrasekaran, Adam Klivans
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
Yash Jhaveri, Harley Wiltzer, Patrick Shafto et al.
Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
Zhicheng Zhang, Weicheng Wang, Yongjie Zhu et al.
Quantum speedup of non-linear Monte Carlo problems
Jose Blanchet, Yassine Hamoudi, Mario Szegedy et al.
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
Irene Wang, Mostafa Elhoushi, H Ekin Sumbul et al.
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.
MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence
Jie Liu, Wenxuan Wang, Zizhan Ma et al.
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
Zhiqiang Kou, Yucheng Xie, Hailin Wang et al.
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
Qiwei Wang, Shaoxun Wu, Yujiao Shi
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
Suqin Yuan, Lei Feng, Bo Han et al.
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
Xiaoyu Zhan, Wenxuan Huang, Hao Sun et al.
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
Ning Zhang, Henry Kenlay, Li Zhang et al.
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
Gunshi Gupta, Karmesh Yadav, Zsolt Kira et al.
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
Guoliang He, Youhe Jiang, Wencong Xiao et al.
Reward-oriented Causal Representation Learning
Zirui Yan, Emre Acartürk, Ali Tajer
Distribution Learning Meets Graph Structure Sampling
Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
Yuxi Liu, Min Liu, Shuai Jiang et al.
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
Herbert Woisetschläger, Ryan Zhang, Shiqiang Wang et al.
Estimation of Treatment Effects in Extreme and Unobserved Data
Jiyuan Tan, Vasilis Syrgkanis, Jose Blanchet
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
Feng Zhu, David Simchi-Levi
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh et al.
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Mete Erdogan, Cengiz Pehlevan, Alper Erdogan
Looking Into the Water by Unsupervised Learning of the Surface Shape
Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
Chunyu Wei, Wenji Hu, Xingjia Hao et al.
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
Wenyao Zhang, Hongsi Liu, Zekun Qi et al.
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Chris Kolb, Laetitia Frost, Bernd Bischl et al.
When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
Zhuo Cao, Heming Du, Bingqing Zhang et al.
DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhengqiang ZHANG et al.
Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
Qingsong Wang, Zhengchao Wan, Misha Belkin et al.
Private Set Union with Multiple Contributions
Travis Dick, Haim Kaplan, Alex Kulesza et al.
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Wei Feng, Zongyuan Ge
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen, Jiawei Zhang, Minhui Huang et al.
Learning Interactive World Model for Object-Centric Reinforcement Learning
Fan Feng, Phillip Lippe, Sara Magliacane
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
Esther Rodriguez, Monica Welfert, Samuel McDowell et al.
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li, Changze Zhou, Minghao Fu et al.
Two Causally Related Needles in a Video Haystack
Miaoyu Li, Qin Chao, Boyang Li
4KAgent: Agentic Any Image to 4K Super-Resolution
Yushen Zuo, Qi Zheng, Mingyang Wu et al.
Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
Xiaomeng Hu, Fei Huang, Chenhan Yuan et al.
Chain of Execution Supervision Promotes General Reasoning in Large Language Models
Nuo Chen, Zehua Li, Keqin Bao et al.
MoRIC: A Modular Region-based Implicit Codec for Image Compression
Gen Li, Haotian Wu, Deniz Gunduz
Diffusion-Guided Graph Data Augmentation
Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim et al.
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
Behrad Moniri, Hamed Hassani
Predicting the Performance of Black-box Language Models with Follow-up Queries
Dylan Sam, Marc Finzi, Zico Kolter
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Frank (Fangzheng) Xu, Yufan Song, Boxuan Li et al.
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
Ishika Agarwal, Dilek Hakkani-Tur
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
Jingyuan Zhou, Hao Qian, Shikui Tu et al.
Near-Exponential Savings for Population Mean Estimation with Active Learning
Julian Morimoto, JACOB GOLDIN, Daniel Ho
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
Beier Luo, Shuoyuan Wang, Sharon Li et al.
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
Zohar Rimon, Elisei Shafer, Tal Tepper et al.
Heterogeneous Diffusion Structure Inference for Network Cascade
Siyu Huang, Abdul Basit Adeel, Yubai Yuan
MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation
Weisen Jiang, Sinno Pan
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
Max Weltevrede, Moritz Zanger, Matthijs Spaan et al.
A Closed-Form Solution for Fast and Reliable Adaptive Testing
Yan Zhuang, Chenye Ke, Zirui Liu et al.
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
Qinkai XU, yijin liu, YangChen et al.
Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
Lei Cao, Hao Zhang, Chunyu Li et al.
Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
Nicholas Tacca, Bryan Schlink, Jackson Levine et al.
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
Luxi Chen, Zihan Zhou, Min Zhao et al.
Parameterized Synthetic Text Generation with SimpleStories
Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.
Sharp Matrix Empirical Bernstein Inequalities
Hongjian Wang, Aaditya Ramdas
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.
FairDD: Fair Dataset Distillation
Qihang Zhou, ShenHao Fang, Shibo He et al.
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li et al.
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
Ruyu Liu, Lin Wang, Zhou Mingming et al.
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning et al.
STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
Yuang Qi, Na Zhao, Qiyi Yao et al.
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri
SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.
Temporal-Difference Variational Continual Learning
Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal
Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty
Chenxi Ji, Yangge Li, Xiangru Zhong et al.
Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models
Kinam Kim, Junha Hyung, Jaegul Choo
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
Mingze Wang, Weinan E
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.
NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
Jarren Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus et al.
HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
Kale-ab Tessera, Muhammad Arrasy Rahman, Amos Storkey et al.
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
LINHAO LUO, Zicheng Zhao, Reza Haffari et al.
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Tien Manh Luong, Khai Nguyen, Dinh Phung et al.
Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
Bryan Wilder, Angela Zhou
UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows
Rohit Kanchi, Benjamin Melanson, Nithin Somasekharan et al.
ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
Mingzhi Zhu, Ding Shang, Sai Qian Zhang
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Guilin Li, Yun Zhang, Xiuyuan Chen et al.
Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
Yuchen Zhang, Hanyue Du, Chun Cao et al.
Zeroth-Order Optimization Finds Flat Minima
Liang Zhang, Bingcong Li, Kiran Thekumparampil et al.
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
Xiwen Wei, Mustafa Munir, Radu Marculescu
Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
Weijun Lv, Yu Chen, Xiaozhao Fang et al.
A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks
Mucong Ding, Bang An, Tahseen Rabbani et al.
Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
Han Xu, Yuyang Li, Yunfei Deng et al.
Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
Ruiqi Xue, Ziqian Zhang, Lihe Li et al.
Retro-R1: LLM-based Agentic Retrosynthesis
Wei Liu, Jiangtao Feng, Hongli Yu et al.
Random Search Neural Networks for Efficient and Expressive Graph Learning
Michael Ito, Danai Koutra, Jenna Wiens
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Li, Wei Cheng, Benjamin Riviere et al.
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
Zhe Hu, Jing Li, Zhongzhu Pu et al.