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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Analysis of Multi-Lingual Emotion Recognition Using Auditory Attention Features Interspeech 2016 Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge Interspeech 2016 Analysis on Gated Recurrent Unit Based Question Detection Approach Interspeech 2016 Analyzing Temporal Dynamics of Dyadic Synchrony in Affective Interactions Interspeech 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NeurIPS 2016 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding Interspeech 2016 An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages Interspeech 2016 An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions Interspeech 2016 A Non-generative Framework and Convex Relaxations for Unsupervised Learning NeurIPS 2016 An Online Sequence-to-Sequence Model Using Partial Conditioning NeurIPS 2016 A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NeurIPS 2016 A Novel Relationship Between Dynamics and Complexity in Multi-agent Collision Avoidance RSS 2016 A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation Interspeech 2016 Anticipating Visual Representations From Unlabeled Video CVPR 2016 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016 Anytime optimal algorithms in stochastic multi-armed bandits ICML 2016 A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation COLING 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Redundancy-Aware Sentence Regression Framework for Extractive Summarization COLING 2016 Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition Interspeech 2016 Articulatory-to-Acoustic Conversion with Cascaded Prediction of Spectral and Excitation Features Using Neural Networks Interspeech 2016