Most Cited NEURIPS "calibrated uncertainty quantification" Papers
5,858 papers found • Page 27 of 30
Conference
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa Karabag et al.
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
Haocheng Luo, Mehrtash Harandi, Dinh Phung et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao et al.
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet et al.
Enhancing Graph Classification Robustness with Singular Pooling
Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU et al.
WolBanking77: Wolof Banking Speech Intent Classification Dataset
Abdou Karim KANDJI, Frederic Precioso, Cheikh BA et al.
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo et al.
Embeddings as Probabilistic Equivalence in Logic Programs
Jaron Maene, Efthymia Tsamoura
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Learning Gradient Boosted Decision Trees with Algorithmic Recourse
Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee, Junseok Lee, Sangwoo Seo et al.
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
He Yang, Dongyi Lv, Song Ma et al.
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
woohyeon Byeon, Giseung Park, Jongseong Chae et al.
Causal Mixture Models: Characterization and Discovery
Sarah Mameche, Janis Kalofolias, Jilles Vreeken
Mask Image Watermarking
Runyi Hu, Jie Zhang, Shiqian Zhao et al.
Missing Data Imputation by Reducing Mutual Information with Rectified Flows
Jiahao Yu, Qizhen Ying, Leyang Wang et al.
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
Penghao Wu, Shengnan Ma, Bo Wang et al.
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald Parr
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
Yihong Luo, Tianyang Hu, Weijian Luo et al.
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
Guancheng Wan, Fengyuan Ran, Ruikang Zhang et al.
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
Zehui Li, Vallijah Subasri, Yifei Shen et al.
Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane et al.
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
Tengfei Ma, Kun Chen, Yongsheng Zang et al.
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
Linyang He, Tianjun Zhong, Richard Antonello et al.
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation
Geng Chen, Pengfei Ren, Xufeng Jian et al.
Flow Equivariant Recurrent Neural Networks
Andy Keller
CamSAM2: Segment Anything Accurately in Camouflaged Videos
Yuli Zhou, Yawei Li, Yuqian Fu et al.
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Berken Utku Demirel, Christian Holz
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
Yancheng Zhang, Guangyu Sun, Chen Chen
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning
Ye Liu, Zihan Ji, Hongmin Cai
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski et al.
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
Zhangyin Feng, Qianglong Chen, Ning Lu et al.
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Pengjie Gu et al.
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
Yoshihiro Yamada
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
Mingxiao Li, Mang Ning, Marie-Francine Moens
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang et al.
MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
Yang Shi, Huanqian Wang, Xie et al.
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
Liting Lin, Heng Fan, Zhipeng Zhang et al.
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang 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.
Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models
Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander 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.
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
Computable universal online learning
Dariusz Kalociński, Tomasz Steifer
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling
Wentao Lu, Dong Nie, Pengcheng Xue et al.
Online Learning of Neural Networks
Amit Daniely, Idan Mehalel, Elchanan Mossel
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim et al.
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
Yichen Yan, Ming Zhong, Qi Zhu et al.
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong, Yicheng Liu, Yinchuan Li et al.
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu et al.
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu et al.
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.
Counterfactual reasoning: an analysis of in-context emergence
Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You et al.
Distance-informed Neural Processes
Aishwarya Venkataramanan, Joachim Denzler
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
Woojin Kim, Jaeyoung Do
The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
Vittorio Erba, Emanuele Troiani, Lenka Zdeborová et al.
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng, Xingsi Dong, Si Wu
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
On the sample complexity of semi-supervised multi-objective learning
Tobias Wegel, Geelon So, Junhyung Park et al.
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
Yu Li, Xingyu Qiu, Yuqian Fu et al.
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang, Hanyu Zhou, Haoyue Liu et al.
Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning
Wensong Bai, Chufan Chen, Yichao Fu et al.
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu et al.
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang et al.
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers, Bill Zheng, Anca Dragan et al.
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang et al.
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video
Xueyang Yu, Cheng Shi, Yang Wang et al.
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
Haizhou Du, Yiran Xiang, Yiwen Cai et al.
Online Locally Differentially Private Conformal Prediction via Binary Inquiries
Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.
TGA: True-to-Geometry Avatar Dynamic Reconstruction
Bo Guo, Sijia Wen, Ziwei Wang 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.
Adaptive Discretization for Consistency Models
Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland, YooJung Choi
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Shuche Wang, Adarsh Barik, Peng Zhao et al.
Tree-Based Premise Selection for Lean4
Zichen Wang, Anjie Dong, Zaiwen Wen
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
Ye Sun, Hao Zhang, Henghui Ding et al.
Natural Gradient VI: Guarantees for Non-Conjugate Models
Fangyuan Sun, Ilyas Fatkhullin, Niao He
Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration
Yan Zhuang, Jiawei Ren, Xiaokang Ye et al.
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen et al.
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
Yiran Yang, Rui Chen
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
Counterfactual Evolution of Multimodal Datasets via Visual Programming
Minghe Gao, Zhongqi Yue, Wenjie Yan et al.
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Top Piriyakulkij, Yichao Liang, Hao Tang et al.
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
Jiahui Zhang, Yurui Chen, Yueming Xu et al.
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao et al.
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning
Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu et al.
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang et al.
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng, Shengkun Tang, Yuanzhou Chen et al.
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
MingMing Yu, Fei Zhu, Wenzhuo Liu et al.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
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.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo et al.
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts
Dario Fenoglio, Mohan Li, Pietro Barbiero et al.
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu, Dongjun Nam, Dina Katabi et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
Zhenyi Lin, Xiaofan Ming, Qilong Wang et al.
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
Haolin Li, Tianjie Dai, Zhe Chen et al.
GeoVideo: Introducing Geometric Regularization into Video Generation Model
Yunpeng Bai, Shaoheng Fang, Chaohui Yu et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
Qing Mao, Tianxin Huang, Yu Zhu et al.
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang et al.
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
junliang ye, Zhengyi Wang, Ruowen Zhao et al.
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu, Mu Nan, Hossein Adeli et al.
Pattern-Guided Adaptive Prior for Structure Learning
Lyuzhou Chen, Yijia Sun, Yanze Gao et al.
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
Timo Kaufmann, Yannick Metz, Daniel Keim et al.
InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition
Yijie Zheng, Weijie Wu, Qingyun Li et al.
ConnectomeBench: Can LLMs proofread the connectome?
Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
Ke Ji, Jiahao Xu, Tian Liang et al.
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
Gholamali Aminian, Amir R. Asadi, Idan Shenfeld et al.
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
Prompt-guided Disentangled Representation for Action Recognition
tianci wu, Guangming Zhu, Lu jiang et al.
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi et al.
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi, Hyesu Lim, Steffen Schneider et al.
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
Qing-Yuan Jiang, Longfei Huang, Yang Yang
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
Han Wang, Chao Ning
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
Junchao Gong, Jingyi Xu, Ben Fei et al.
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
Peng Chen, Hailiang Zhao, Jiaji Zhang et al.
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Heming Zou, Yunliang Zang, Wutong Xu et al.
Spectral Learning for Infinite-Horizon Average-Reward POMDPs
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
Insu Lee, Wooje Park, Jaeyun Jang et al.
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Ian Christopher Tanoh, Michael Deistler, Jakob H Macke et al.
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
Florian Sestak, Artur Toshev, Andreas Fürst et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
Faisal Hamman, Pasan Dissanayake, Yanjun Fu 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.
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.
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
Tao Wang, Mengyu Li, Geduo Zeng et al.
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
Anushri Arora, Jonathan Pillow
Behavior Injection: Preparing Language Models for Reinforcement Learning
Zhepeng Cen, Yihang Yao, William Han et al.
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection
Xin Tong, Baojie Tian, Yufei Guo et al.
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Alessandro Micheli, Samir Bhatt
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
Chong You, Rajesh Jayaram, Ananda Theertha Suresh et al.
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan, Zhe Liu, Hesheng Wang
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon et al.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
Balanced Conic Rectified Flow
Kim Shin seong, Mingi Kwon, Jaeseok Jeong et al.
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
Xander Davies, Eric Winsor, Alexandra Souly et al.