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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

38
179
3,018
5,737
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Papers (including subtopics)

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging NAACL 2019 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019 Jointly Learning to Label Sentences and Tokens AAAI 2019 Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation CVPR 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019 Joint-task Self-supervised Learning for Temporal Correspondence NeurIPS 2019 Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019 JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields CVPR 2019 JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation EMNLP 2019 JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English ACL 2019 JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task ACL 2019 Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning EMNLP 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019 Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization ACL 2019 KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing CVPR 2019 Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NeurIPS 2019 Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation ACL 2019 KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue ACL 2019 Kingsoft’s Neural Machine Translation System for WMT19 ACL 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019 Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019 Knowledge Distillation via Instance Relationship Graph CVPR 2019 Knowledge Enhanced Contextual Word Representations EMNLP 2019 Knowledge Extraction with No Observable Data NeurIPS 2019