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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)

Sequential Person Recognition in Photo Albums With a Recurrent Network CVPR 2017 SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017 Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched Wikipedia SemEval 2017 SGD Learns the Conjugate Kernel Class of the Network NeurIPS 2017 SGNMT – A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies EMNLP 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Shape and Material from Sound NeurIPS 2017 ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing EACL 2017 Should Neural Network Architecture Reflect Linguistic Structure? CoNLL 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Simple Does It: Weakly Supervised Instance and Semantic Segmentation CVPR 2017 Sim-to-Real Robot Learning from Pixels with Progressive Nets CoRL 2017 Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding CVPR 2017 SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing IJCAI 2017 Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract) IJCAI 2017 Sound-Word2Vec: Learning Word Representations Grounded in Sounds EMNLP 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017 Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation Interspeech 2017 Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels Interspeech 2017 Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning IJCNLP 2017 Speaker Verification Under Adverse Conditions Using i-Vector Adaptation and Neural Networks Interspeech 2017 Spectral Clustering Based on Local PCA JMLR 2017 Spectral Learning from a Single Trajectory under Finite-State Policies ICML 2017 Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR Interspeech 2017 Speech segmentation with a neural encoder model of working memory EMNLP 2017