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
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
ICCV 2025
Fast Quiet-STaR: Thinking Without Thought Tokens
EMNLP 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
ICLR 2025
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
ICLR 2025
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
ICML 2025
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
ICML 2025
Find A Winning Sign: Sign Is All We Need to Win the Lottery
ICLR 2025
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
ICLR 2025
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
EMNLP 2025
Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking
ACL 2025
FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction
EMNLP 2025
Flashback: Memory Mechanism for Enhancing Memory Efficiency and Speed in Deep Sequential Models
COLING 2025
Flatness Improves Backbone Generalisation in Few-Shot Classification
WACV 2025
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
ICLR 2025
Flexible Tails for Normalizing Flows
ICML 2025
Flexora: Flexible Low-Rank Adaptation for Large Language Models
ACL 2025
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)
ICCV 2025
Formation of Representations in Neural Networks
ICLR 2025
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models
ACL 2025
FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression
EMNLP 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
IJCAI 2025
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
AAAI 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
ICLR 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
AAAI 2025
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
AAAI 2025