Most Cited NEURIPS "blur-noise mixture diffusion" Papers
5,858 papers found • Page 18 of 30
Conference
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
Lujian Yao, Siming Zheng, Xinbin Yuan 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.
Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane et al.
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
Dapeng Zhang, Fei Shen, Rui Zhao et al.
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai
Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy
Michele Baldassini, Francesco Pistolesi, Beatrice Lazzerini
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
Zebin Yang, Sunjian Zheng, Tong Xie et al.
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
Yancheng Zhang, Guangyu Sun, Chen Chen
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
Tianxing Man, Yu Bai, Ganyu Wang et al.
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal 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.
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Pengjie Gu et al.
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
Yoshihiro Yamada
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.
DataSIR: A Benchmark Dataset for Sensitive Information Recognition
Fan Mo, Bo Liu, Yuan Fan et al.
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
Yuxiang Zhang, Zhengxu Yu, Weihang Pan et al.
Absence Bench: Language Models Can’t See What’s Missing
Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.
The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
Devan Walton, Haesol Bae
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu et al.
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
Mingxiao Li, Mang Ning, Marie-Francine Moens
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
Liting Lin, Heng Fan, Zhipeng Zhang 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.
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang et al.
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
florence regol, Joseph Cotnareanu, Theodore Glavas et al.
Online robust locally differentially private learning for nonparametric regression
Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference
Qiyi Wang, Senda Chen, Ying Shen
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
Machine Unlearning via Task Simplex Arithmetic
Junhao Dong, Hao Zhu, Yifei Zhang et al.
Parameter Dynamics of Online Machine Learning and Test-time Adaptation
Jae-Hong Lee
Individually Fair Diversity Maximization
Ruien Li, Yanhao Wang
Tight Asymptotics of Extreme Order Statistics
Matias Romero, Frederik Mallmann-Trenn, Jose Correa
Prohibiting Generative AI in any Form of Weapon Control
Mary Cummings
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
Jongseo Lee, Wooil Lee, Gyeong-Moon Park et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao 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.
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
Dongkwan Lee, JunHoo Lee, Nojun Kwak
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
Exploring and Exploiting Model Uncertainty in Bayesian Optimization
Zishi Zhang, Tao Ren, Yijie Peng
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang et al.
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang et al.
Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model
Yicong Chen, Jiahua Rao, Jiancong Xie et al.
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
Inho Jeong, Sunghyeon Woo, Sol Namkung et al.
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
Yunqi Gao, Bing Hu, Boloursaz Mashhadi 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.
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
Ning Gao, Xiuhui Zhang, Xingyu Jiang et al.
Tree-Based Premise Selection for Lean4
Zichen Wang, Anjie Dong, Zaiwen Wen
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.
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
Mamba Modulation: On the Length Generalization of Mamba Models
Peng Lu, Jerry Huang, QIUHAO Zeng et al.
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
Streaming Stochastic Submodular Maximization with On-Demand User Requests
Honglian Wang, Sijing Tu, Lutz Oettershagen et al.
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen et al.
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
Zixun Wang, Ben Dai
FLAME: Fast Long-context Adaptive Memory for Event-based Vision
Biswadeep Chakraborty, Saibal Mukhopadhyay
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
Rectified CFG++ for Flow Based Models
Shreshth Saini, Shashank Gupta, Alan Bovik
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
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
Nicholas Vincent, Matt Prewitt, Hanlin Li
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu et al.
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
3D Interaction Geometric Pre-training for Molecular Relational Learning
Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Yu Li, Jin Jiang, Jianhua Zhu et al.
Can NeRFs "See" without Cameras?
Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts
Linfeng Tang, Yeda Wang, Zhanchuan Cai et al.
Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration
Yan Zhuang, Jiawei Ren, Xiaokang Ye et al.
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
Josu Eguíluz, Axel Brando, Migle Laukyte et al.
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao et al.
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
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.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo 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.
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li et al.
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
Yao Luan, Ni Mu, Yiqin Yang 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.
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Zhiyuan Ning, Jiawei Shao, Ruge Xu 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.
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
Feichen Gan, Lu Youcun, Yingying Zhang et al.
New Parallel and Streaming Algorithms for Directed Densest Subgraph
Slobodan Mitrovic, Theodore Pan, Mahdi Qaempanah et al.
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
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.
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang et al.
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Looking Into the Water by Unsupervised Learning of the Surface Shape
Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Derezinski, Daniel LeJeune, Deanna Needell et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Chris Kolb, Laetitia Frost, Bernd Bischl et al.
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren 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
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
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
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang et al.
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin et al.
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
Wenjie Du, Xuqiang Li, Jinke Feng et al.
Chain of Execution Supervision Promotes General Reasoning in Large Language Models
Nuo Chen, Zehua Li, Keqin Bao et al.
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman et al.
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model
Xiangkun Wang, Kejiang Chen, Lincong Li et al.
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling
Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
Xirui Jin, Renbiao Jin, Boying Li et al.
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
Ishika Agarwal, Dilek Hakkani-Tur
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
Zhaoqun Li, Beishui Liao, Qiwei Ye
Near-Exponential Savings for Population Mean Estimation with Active Learning
Julian Morimoto, JACOB GOLDIN, Daniel Ho
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen et al.
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences
Siqi Wan, Jingwen Chen, Qi Cai 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
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
Rui Wang, Chen Hu, Xiaoning Song et al.
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.
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie 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.
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng, Ting Lin, Zuowei Shen et al.
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
boheng liu, Ziyu Li, Chenghua Duan et al.
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu et al.
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li et al.
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi, Hyesu Lim, Steffen Schneider 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.
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
Han Wang, Chao Ning
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
Francesco Innocenti, El Mehdi Achour, Christopher L Buckley
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
Shuguang Wang, Qian Zhou, Kui Wu et al.
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Tien Manh Luong, Khai Nguyen, Dinh Phung et al.
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
Risheng Liu, Zhu Liu, Weihao Mao et al.
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu 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.
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance
Ali Farajzadeh, Danyal Saeed, Syed M Abbas 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.
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay 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
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor et al.
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Elia Torre, Michele Viscione, Lucas Pompe et al.