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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 Robustness of Neural Networks through Fourier Stabilization ICML 2021 Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization ICCV 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion AAAI 2021 Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience EMNLP 2021 Enriching and Controlling Global Semantics for Text Summarization EMNLP 2021 Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021 Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion Interspeech 2021 Enrollment-Less Training for Personalized Voice Activity Detection Interspeech 2021 Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering ACL 2021 Ensemble Fine-tuned mBERT for Translation Quality Estimation EMNLP 2021 Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs EMNLP 2021 Ensembling With Deep Generative Views CVPR 2021 EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering ACL 2021 Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection SemEval 2021 EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain NAACL 2021 Entity-level Cross-modal Learning Improves Multi-modal Machine Translation EMNLP 2021 Entropy-Guided Control Improvisation RSS 2021 Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation ICCV 2021 Environment Generation for Zero-Shot Compositional Reinforcement Learning NeurIPS 2021 Environment Inference for Invariant Learning ICML 2021 Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments ICCV 2021 Epsilon Best Arm Identification in Spectral Bandits IJCAI 2021 Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection CVPR 2021 Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NeurIPS 2021