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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 Dialogue State Tracking via Reason-of-Select Distillation ACL 2024 Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024 Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024 Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024 Continual Forgetting for Pre-trained Vision Models CVPR 2024 Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024 Continual Learning in an Open and Dynamic World AAAI 2024 Continual Learning in the Frequency Domain NeurIPS 2024 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline ICLR 2024 Continual learning of multi-modal dynamics with external memory L4DC 2024 Continual Learning of Unsupervised Monocular Depth From Videos WACV 2024 Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems Interspeech 2024 Continual Learning with Global Alignment NeurIPS 2024 Continual Learning with Pre-Trained Models: A Survey IJCAI 2024 Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation ACL 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024 Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation ICLR 2024 Continual Multimodal Knowledge Graph Construction IJCAI 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024 Continual Reinforcement Learning for Controlled Text Generation COLING 2024 Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024 Continual Segmentation with Disentangled Objectness Learning and Class Recognition CVPR 2024 Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024