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Learning Types

56,253 papers (3 classified directly here)

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

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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2000
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Papers (including subtopics)

Jumper: Learning When to Make Classification Decision in Reading IJCAI 2018 K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning ICML 2018 KBGAN: Adversarial Learning for Knowledge Graph Embeddings NAACL 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks NeurIPS 2018 Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift NAACL 2018 Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings NAACL 2018 Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection COLING 2018 Knowledge Aided Consistency for Weakly Supervised Phrase Grounding CVPR 2018 Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition IJCAI 2018 Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement IJCAI 2018 Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction ACML 2018 Know What You Don’t Know: Unanswerable Questions for SQuAD ACL 2018 KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos EMNLP 2018 Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition NAACL 2018 Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces CVPR 2018 Labeled Anchors and a Scalable, Transparent, and Interactive Classifier EMNLP 2018 Label Embedding Based on Multi-Scale Locality Preservation IJCAI 2018 Label Enhancement for Label Distribution Learning IJCAI 2018 Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding EMNLP 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018 Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes Interspeech 2018 Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets ACL 2018 Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings EMNLP 2018 Large-scale Cloze Test Dataset Created by Teachers EMNLP 2018 Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing ACL 2018