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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)

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task CoNLL 2017 A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events EMNLP 2017 A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings EMNLP 2017 A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content EACL 2017 A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction EMNLP 2017 A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion Interspeech 2017 Aspect Extraction from Product Reviews Using Category Hierarchy Information EACL 2017 Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors Interspeech 2017 A Stepwise Analysis of Aggregated Crowdsourced Labels Describing Multimodal Emotional Behaviors Interspeech 2017 A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments EACL 2017 A Structured Learning Approach to Temporal Relation Extraction EMNLP 2017 A Supervised Approach to Extractive Summarisation of Scientific Papers CoNLL 2017 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 Asymmetric Tri-training for Unsupervised Domain Adaptation ICML 2017 Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017 A Syntactic Neural Model for General-Purpose Code Generation ACL 2017 A Teacher-Student Framework for Zero-Resource Neural Machine Translation ACL 2017 A tool for extracting sense-disambiguated example sentences through user feedback EACL 2017 A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification Interspeech 2017 A Transition-based System for Universal Dependency Parsing CoNLL 2017 Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data CVPR 2017 Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging Interspeech 2017 Attention-Based LSTM with Multi-Task Learning for Distant Speech Recognition Interspeech 2017 Attentive Recurrent Comparators ICML 2017 Audio Content Based Geotagging in Multimedia Interspeech 2017