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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

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1173
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Papers (including subtopics)

AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023
Quantum Multi-Model Fitting CVPR 2023
Adversarial Normalization: I Can Visualize Everything (ICE) CVPR 2023
DistilPose: Tokenized Pose Regression With Heatmap Distillation CVPR 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023
Practical Network Acceleration With Tiny Sets CVPR 2023
Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images CVPR 2023
Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR CVPR 2023
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration CVPR 2023
Class Adaptive Network Calibration CVPR 2023
NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction CVPR 2023
Motion Information Propagation for Neural Video Compression CVPR 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers EACL 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers EACL 2023
The NLP Task Effectiveness of Long-Range Transformers EACL 2023
Absolute Position Embedding Learns Sinusoid-like Waves for Attention Based on Relative Position EMNLP 2023
Sparse Universal Transformer EMNLP 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023
LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation EMNLP 2023
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation EMNLP 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023