Poster Papers
24,624 papers found • Page 158 of 493
Conference
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
Yizhou Xu, Florent Krzakala, Lenka Zdeborová
Learning with Selectively Labeled Data from Multiple Decision-makers
Jian Chen, Zhehao Li, Xiaojie Mao
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
Ruitao Wu, Yifan Zhao, Jia Li
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi CHEN, Yahong Yang, Yang Xiang et al.
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
Sepehr Elahi, Paula Mürmann, Patrick Thiran
Learnware Specification via Dual Alignment
Wei Chen, Jun-Xiang Mao, Xiaozheng Wang et al.
Learn Your Reference Model for Real Good Alignment
Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov et al.
Least squares variational inference
Yvann Le Fay, Nicolas Chopin, Simon Barthelmé
Leave-One-Out Stable Conformal Prediction
Kiljae Lee, Yuan Zhang
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
Yuxuan Zhang, Zhenbo Shi, han ye et al.
LEDiff: Latent Exposure Diffusion for HDR Generation
Chao Wang, Zhihao Xia, Thomas Leimkuehler et al.
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
Shen Zhang, Siyuan Liang, Yaning Tan et al.
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Hantao Zhang, Yuhe Liu, Jiancheng Yang et al.
LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation
Yifei Zhang, Lei Chen
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
Yuan Feng, Yukun Cao, Hairu Wang et al.
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Walid Bousselham, Angie Boggust, Sofian Chaybouti et al.
LEMoN: Label Error Detection using Multimodal Neighbors
Haoran Zhang, Aparna Balagopalan, Nassim Oufattole et al.
Length Generalization via Auxiliary Tasks
Pranjal Awasthi, Anupam Gupta, Ravi Kumar
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng, Haohui Wang, Junhong Lin et al.
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal et al.
Less Attention is More: Prompt Transformer for Generalized Category Discovery
Wei Zhang, Baopeng Zhang, Zhu Teng et al.
Less Greedy Equivalence Search
Adiba Ejaz, Elias Bareinboim
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning
Wei Huang, Jianshu Zhang, Leiyu Wang et al.
Less is More: Efficient Image Vectorization with Adaptive Parameterization
Kaibo Zhao, Liang Bao, Yufei Li et al.
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
Lele Fu, Bowen Deng, Sheng Huang et al.
Less is More: Improving Motion Diffusion Models with Sparse Keyframes
Jinseok Bae, Inwoo Hwang, Young-Yoon Lee et al.
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
Lin Zhu, Xinbing Wang, Chenghu Zhou et al.
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning
Zhi-Wei Xia, Kun-Yu Lin, Yuan-Ming Li et al.
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
shaojin wu, Mengqi Huang, wenxu wu et al.
Let Humanoids Hike! Integrative Skill Development on Complex Trails
Kwan-Yee Lin, Stella X. Yu
Let LLM Tell What to Prune and How Much to Prune
Mingzhe Yang, Sihao Lin, Changlin Li et al.
Let LRMs Break Free from Overthinking via Self-Braking Tuning
Haoran Zhao, Yuchen Yan, Yongliang Shen et al.
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Zhiwei Xu, Zhiyu Ni, Yixin Wang et al.
Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones
Parsa Mirtaheri, Ezra Edelman, Samy Jelassi et al.
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
WEIWEI LI, Junzhuo Liu, Yuanyuan Ren et al.
Let's Chorus: Partner-aware Hybrid Song-Driven 3D Head Animation
Xiumei Xie, Zikai Huang, Wenhao Xu et al.
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV et al.
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
Zhiyi Lyu, Jianguo Huang, Yanchen Deng et al.
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Yan Ru Pei
Let's Verify and Reinforce Image Generation Step by Step
Renrui Zhang, Chengzhuo Tong, Zhizheng Zhao et al.
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Zhe Kong, Feng Gao, Yong Zhang et al.
Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
Yilun Zheng, Xiang Li, Sitao Luan et al.
LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions
Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham et al.
Leveraging 2D Priors and SDF Guidance for Urban Scene Rendering
Siddharth Tourani, Jayaram Reddy, Akash Kumbar et al.
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection
Ahyun Seo, Minsu Cho
Leveraging BEV Paradigm for Ground-to-Aerial Image Synthesis
Junyan Ye, Jun He, Weijia Li et al.