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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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Papers (including subtopics)

Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia Interspeech 2019 Neural TTS Stylization with Adversarial and Collaborative Games ICLR 2019 Neural Unsupervised Parsing Beyond English EMNLP 2019 Neural Word Decomposition Models for Abusive Language Detection ACL 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NeurIPS 2019 News Article Teaser Tweets and How to Generate Them NAACL 2019 Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains EMNLP 2019 N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification UAI 2019 N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules NeurIPS 2019 NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT EMNLP 2019 NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task ACL 2019 NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task ACL 2019 NIESR: Nuisance Invariant End-to-End Speech Recognition Interspeech 2019 NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection EMNLP 2019 NLNL: Negative Learning for Noisy Labels ICCV 2019 NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs SemEval 2019 No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects ACL 2019 nocaps: novel object captioning at scale ICCV 2019 Noise2Self: Blind Denoising by Self-Supervision ICML 2019 Noise2Void - Learning Denoising From Single Noisy Images CVPR 2019 Noise Adaptive Speech Enhancement Using Domain Adversarial Training Interspeech 2019 Noise-Aware Unsupervised Deep Lidar-Stereo Fusion CVPR 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019 Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NeurIPS 2019