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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Towards augmenting crisis counselor training by improving message retrieval NAACL 2019 Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis CoNLL 2019 Towards Automated Semi-Supervised Learning AAAI 2019 Towards Automatic Variant Analysis of Ancient Devotional Texts ACL 2019 Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019 Towards Bilingual Lexicon Discovery From Visually Grounded Speech Audio Interspeech 2019 Towards Coherent and Cohesive Long-form Text Generation NAACL 2019 Towards Comprehensive Description Generation from Factual Attribute-value Tables ACL 2019 Towards Content Transfer through Grounded Text Generation NAACL 2019 Towards Discriminative Representation Learning for Speech Emotion Recognition IJCAI 2019 Towards Fine-grained Text Sentiment Transfer ACL 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019 Towards Gene Function Prediction via Multi-Networks Representation Learning AAAI 2019 Towards Generalized Speech Enhancement with Generative Adversarial Networks Interspeech 2019 Towards Incremental Learning of Word Embeddings Using Context Informativeness ACL 2019 Towards Interpretable Object Detection by Unfolding Latent Structures ICCV 2019 Towards Joint Sound Scene and Polyphonic Sound Event Recognition Interspeech 2019 Towards Language Agnostic Universal Representations ACL 2019 Towards Latent Attribute Discovery From Triplet Similarities ICCV 2019 Towards Making a Dependency Parser See EMNLP 2019 Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies AAAI 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Towards Precise End-to-End Weakly Supervised Object Detection Network ICCV 2019