Neural Network Optimization
4,155 papers
Papers per year
1
1
2
3
6
1
7
5
7
9
17
18
40
76
113
228
343
456
501
492
567
622
559
81
'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