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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)

AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts EACL 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017 All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages IJCNLP 2017 Alternative Approaches to Neural Network Based Speaker Verification Interspeech 2017 A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation Interspeech 2017 AMC: Attention guided Multi-modal Correlation Learning for Image Search CVPR 2017 A method for in-depth comparative evaluation: How (dis)similar are outputs of pos taggers, dependency parsers and coreference resolvers really? EACL 2017 A Multi-task Approach to Predict Likability of Books EACL 2017 A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition IJCNLP 2017 Analogy-preserving functions: A way to extend Boolean samples IJCAI 2017 Analyzing Well-Formedness of Syllables in Japanese Sign Language IJCNLP 2017 An Artificial Language Evaluation of Distributional Semantic Models CoNLL 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching CVPR 2017 An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017 An efficient query learning algorithm for zero-suppressed binary decision diagrams ALT 2017 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation ACL 2017 An Empirical Evaluation of Visual Question Answering for Novel Objects CVPR 2017 An Ensemble Method with Sentiment Features and Clustering Support IJCNLP 2017 A Network-based End-to-End Trainable Task-oriented Dialogue System EACL 2017 A Network Framework for Noisy Label Aggregation in Social Media ACL 2017 An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017