Most Cited NEURIPS "geometry appearance decomposition" Papers
5,858 papers found • Page 30 of 30
Conference
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.
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon et al.
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt et al.
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
Yixiao Huang, Hanlin Zhu, Tianyu Guo et al.
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
junliang ye, Zhengyi Wang, Ruowen Zhao et al.
Behavior Injection: Preparing Language Models for Reinforcement Learning
Zhepeng Cen, Yihang Yao, William Han et al.
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang 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.
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
Mianchu Wang, Giovanni Montana
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
Runheng Liu, Heyan Huang, Xingchen Xiao et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
Yuan Guo, Qian Ma, Hui Li et al.
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Heming Zou, Yunliang Zang, Wutong Xu et al.
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
Navita Goyal, Hal Daumé III, Alexandre Drouin et al.
MTRec: Learning to Align with User Preferences via Mental Reward Models
Mengchen Zhao, Yifan Gao, Yaqing Hou et al.
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
Qing-Yuan Jiang, Longfei Huang, Yang Yang
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
Xingyu Liu, Pengfei Ren, Qi Qi et al.
Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
Sishun Liu, KE DENG, Yongli Ren et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren et al.
Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
Wenbo Shang, Zihan Feng, Yang Yajun et al.
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
Ming Nie, Chunwei Wang, Jianhua Han et al.
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
Jin Hu, Jiakai Wang, linna Jing et al.
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
Zedong Liu, Shenggan Cheng, Guangming Tan et al.
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Causal Discovery over Clusters of Variables in Markovian Systems
Tara Anand, Adèle Ribeiro, Jin Tian et al.
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
Towards Understanding Transformers in Learning Random Walks
Wei Shi, Yuan Cao
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts
Dario Fenoglio, Mohan Li, Pietro Barbiero et al.
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
Xiaogang Jia, Qian Wang, Anrui Wang et al.
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.
New Parallel and Streaming Algorithms for Directed Densest Subgraph
Slobodan Mitrovic, Theodore Pan, Mahdi Qaempanah et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
The Emergence of Abstract Thought in Large Language Models Beyond Any Language
Yuxin Chen, Yiran Zhao, Yang Zhang et al.
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang et al.
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding
Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo et al.
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
REINFORCE Converges to Optimal Policies with Any Learning Rate
Samuel Robertson, Thang Chu, Bo Dai et al.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.