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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)

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking ACL 2021 Continual Learning for Text Classification with Information Disentanglement Based Regularization NAACL 2021 Continual Learning in Multilingual NMT via Language-Specific Embeddings EMNLP 2021 Continual learning in recurrent neural networks ICLR 2021 Continual Learning in Task-Oriented Dialogue Systems EMNLP 2021 Continual Learning in the Teacher-Student Setup: Impact of Task Similarity ICML 2021 Continual Learning on Noisy Data Streams via Self-Purified Replay ICCV 2021 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Continual Learning via Local Module Composition NeurIPS 2021 Continual Lifelong Learning for Intelligent Agents IJCAI 2021 Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations ICCV 2021 Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams ICCV 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Continual Representation Learning for Biometric Identification WACV 2021 Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations CVPR 2021 Continual World: A Robotic Benchmark For Continual Reinforcement Learning NeurIPS 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 Continuous Entailment Patterns for Lexical Inference in Context EMNLP 2021 Continuous Language Generative Flow ACL 2021 Continuous Learning in Neural Machine Translation using Bilingual Dictionaries EACL 2021 Continuous-Time Attention for Sequential Learning AAAI 2021 Contract-based Inter-user Usage Coordination in Free-floating Car Sharing AAAI 2021 Contrapositive Local Class Inference EMNLP 2021 Contrast and Classify: Training Robust VQA Models ICCV 2021