Skip to content
conftrace_

Neural Network Optimization

4,155 papers

2
5
40
456
559
'5
'10
'15
'20
'25

Papers

Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs NAACL 2025 TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention ICLR 2025 Tilted Sharpness-Aware Minimization ICML 2025 TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding ICCV 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions ICLR 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin JMLR 2025 TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge ACL 2025 Training compute-optimal transformer encoder models EMNLP 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025 Training Language Models to Self-Correct via Reinforcement Learning ICLR 2025 Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks OSDI 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025 Transformative or Conservative? Conservation laws for ResNets and Transformers ICML 2025 Transformer Meets Twicing: Harnessing Unattended Residual Information ICLR 2025 Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning ICLR 2025 Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought ICLR 2025 Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow ICLR 2025 Transformers Provably Solve Parity Efficiently with Chain of Thought ICLR 2025 Transformers without Normalization CVPR 2025 Troopers at BLP-2025 Task 2: Reward-Selective Fine-Tuning based Code Generation Approach for Bangla Prompts AACL 2025