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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)

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models Interspeech 2020 Enhancing Urban Flow Maps via Neural ODEs IJCAI 2020 Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources ACL 2020 Enriched mixtures of generalised Gaussian process experts AISTATS 2020 Ensemble Approaches for Uncertainty in Spoken Language Assessment Interspeech 2020 Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks CVPR 2020 Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition Interspeech 2020 Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020 Ensembles of Locally Independent Prediction Models AAAI 2020 Entity Enhanced BERT Pre-training for Chinese NER EMNLP 2020 Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract) AAAI 2020 Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues AAAI 2020 Entropic Causal Inference: Identifiability and Finite Sample Results NeurIPS 2020 Entropy Minimization In Emergent Languages ICML 2020 ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts EMNLP 2020 Episode-Based Prototype Generating Network for Zero-Shot Learning CVPR 2020 EPOC: Efficient Perception via Optimal Communication AAAI 2020 Equalization Loss for Long-Tailed Object Recognition CVPR 2020 Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization CVPR 2020 Erasing Scene Text with Weak Supervision WACV 2020 Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs NeurIPS 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding AAAI 2020 Error-Bounded Correction of Noisy Labels ICML 2020 ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection EMNLP 2020