conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021 Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos CVPR 2021 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NeurIPS 2021 Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training EMNLP 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021 Learning Intra-Batch Connections for Deep Metric Learning ICML 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021 Learning Invariant Representations using Inverse Contrastive Loss AAAI 2021 Learning Kernel-Smoothed Machine Translation with Retrieved Examples EMNLP 2021 Learning Language Specific Sub-network for Multilingual Machine Translation ACL 2021 Learning Mathematical Properties of Integers EMNLP 2021 Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis AAAI 2021 Learning Modulated Loss for Rotated Object Detection AAAI 2021 Learning Monocular 3D Reconstruction of Articulated Categories From Motion CVPR 2021 Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency AAAI 2021 Learning Multi-Scale Photo Exposure Correction CVPR 2021 Learning Mutual Correlation in Multimodal Transformer for Speech Emotion Recognition Interspeech 2021 Learning Neural Network Subspaces ICML 2021 Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis CVPR 2021 Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021 Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph EMNLP 2021 Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction CVPR 2021 Learning Placeholders for Open-Set Recognition CVPR 2021 Learning Position and Target Consistency for Memory-Based Video Object Segmentation CVPR 2021 Learning Prototypical Functions for Physical Artifacts ACL 2021