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)

Multi-Level Attention Networks for Visual Question Answering CVPR 2017 Multilingual Recurrent Neural Networks with Residual Learning for Low-Resource Speech Recognition Interspeech 2017 Multilingual Training of Crosslingual Word Embeddings EACL 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 2017 Multimodal Learning and Reasoning for Visual Question Answering NeurIPS 2017 Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video EMNLP 2017 Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer CVPR 2017 Multi-Object Tracking With Quadruplet Convolutional Neural Networks CVPR 2017 Multi-output Polynomial Networks and Factorization Machines NeurIPS 2017 Multiple Instance Detection Network With Online Instance Classifier Refinement CVPR 2017 Multiple People Tracking by Lifted Multicut and Person Re-Identification CVPR 2017 Multi-Task Correlation Particle Filter for Robust Object Tracking CVPR 2017 Multi-Task Learning of Keyphrase Boundary Classification ACL 2017 Multi-Task Video Captioning with Video and Entailment Generation ACL 2017 Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction EMNLP 2017 Mutual Alignment Transfer Learning CoRL 2017 Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding IJCNLP 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Nested LSTMs ACML 2017 Neural Architectures for Fine-grained Entity Type Classification EACL 2017 Neural Automatic Post-Editing Using Prior Alignment and Reranking EACL 2017 Neural Expectation Maximization NeurIPS 2017 Neural Lattice-to-Sequence Models for Uncertain Inputs EMNLP 2017 Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search EMNLP 2017 Neural Machine Translation with Source Dependency Representation EMNLP 2017