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 Attention-based Embeddings for Relation Prediction in Knowledge Graphs ACL 2019 Learning Attribute-Specific Representations for Visual Tracking AAAI 2019 Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019 Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CoNLL 2019 Learning-Based Sampling for Natural Image Matting CVPR 2019 Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron ACL 2019 Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning NeurIPS 2019 Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019 Learning Correspondence From the Cycle-Consistency of Time CVPR 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Deep Transformer Models for Machine Translation ACL 2019 Learning Discriminative Model Prediction for Tracking ICCV 2019 Learning Disentangled Representation for Robust Person Re-identification NeurIPS 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Document Embeddings with Crossword Prediction AAAI 2019 Learning dynamic polynomial proofs NeurIPS 2019 Learning elementary structures for 3D shape generation and matching NeurIPS 2019 Learning Explicit and Implicit Structures for Targeted Sentiment Analysis EMNLP 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019 Learning from Bad Data via Generation NeurIPS 2019 Learning from brains how to regularize machines NeurIPS 2019