ICLR Papers
6,124 papers found • Page 101 of 123
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu et al.
Lemur: Harmonizing Natural Language and Code for Language Agents
Yiheng Xu, Hongjin SU, Chen Xing et al.
Lemur: Integrating Large Language Models in Automated Program Verification
Haoze Wu, Clark Barrett, Nina Narodytska
Less is More: Fewer Interpretable Region via Submodular Subset Selection
Ruoyu Chen, Hua Zhang, Siyuan Liang et al.
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li et al.
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak et al.
Let Models Speak Ciphers: Multiagent Debate through Embeddings
Chau Pham, Boyi Liu, Yingxiang Yang et al.
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
Noa Moriel, Matt Ricci, Mor Nitzan
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yuri Burda et al.
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
Antoine Bambade, Fabian Schramm, Adrien Taylor et al.
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
Ayesha Vermani, Il Memming Park, Josue Nassar
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Heng Dong, Junyu Zhang, Chongjie Zhang
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma, Mathias Lechner, Noel Loo et al.
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdelrahman Ahmed, Lucas Fenaux et al.
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi et al.
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian et al.
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Ryo Ueda, TADAHIRO TANIGUCHI
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang et al.
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Vimal Thilak, Chen Huang, Omid Saremi et al.
Lie Group Decompositions for Equivariant Neural Networks
Mircea Mironenco, Patrick Forré
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson, Felix Draxler, Armand Rousselot et al.
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying et al.
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Huigen Ye, Hua Xu, Hongyan Wang
Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu et al.
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Gabriel Grand, Lio Wong, Maddy Bowers et al.
Linear attention is (maybe) all you need (to understand Transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song et al.
Linearity of Relation Decoding in Transformer Language Models
Evan Hernandez, Arnab Sen Sharma, Tal Haklay et al.
Linear Log-Normal Attention with Unbiased Concentration
Yury Nahshan, Joseph Kampeas, Emir Haleva
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
Lizhang Chen, Bo Liu, Kaizhao Liang et al.
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang et al.
LipSim: A Provably Robust Perceptual Similarity Metric
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy et al.
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
Giung Nam, Byeongho Heo, Juho Lee
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha et al.
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander Liu et al.
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
Xin Liu, Muhammad Khalifa, Lu Wang
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Renrui Zhang, Jiaming Han, Chris Liu et al.
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Guangyi Chen, Yuke Li, Xiao Liu et al.
Llemma: An Open Language Model for Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster et al.
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Naman Jain, Tianjun Zhang, Wei-Lin Chiang et al.
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia et al.
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Hanan Gani, Shariq Bhat, Muzammal Naseer et al.
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang et al.
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang et al.
LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala et al.
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Sheng JIn, Xueying Jiang, Jiaxing Huang et al.
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu, Gourav Datta, Anni Li et al.