Neural Network Optimization

Learning from Integral Losses in Physics Informed Neural Networks ICML 2024 Learning Label Dependencies for Visual Information Extraction IJCAI 2024 Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series ICML 2024 Learning to Make Keypoints Sub-Pixel Accurate ECCV 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024 Learning Where to Edit Vision Transformers NeurIPS 2024 Length-Aware Multi-Kernel Transformer for Long Document Classification NAACL 2024 Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024 Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024 Lightweight Transducer Based on Frame-Level Criterion Interspeech 2024 Linear-Complexity Self-Supervised Learning for Speech Processing Interspeech 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection COLING 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ICLR 2024 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024 LLaMA Pro: Progressive LLaMA with Block Expansion ACL 2024 Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Local to Global: Learning Dynamics and Effect of Initialization for Transformers NeurIPS 2024 LoCoNet: Long-Short Context Network for Active Speaker Detection CVPR 2024 LoFiT: Localized Fine-tuning on LLM Representations NeurIPS 2024 LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024 LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024