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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)

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization NAACL 2021 Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021 Medical Dead-ends and Learning to Identify High-Risk States and Treatments NeurIPS 2021 Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021 MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain ACL 2021 MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection CVPR 2021 MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP 2021 Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021 Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data ICCV 2021 Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation EACL 2021 Memory Efficient Online Meta Learning ICML 2021 Memory-Guided Unsupervised Image-to-Image Translation CVPR 2021 Memory Oriented Transfer Learning for Semi-Supervised Image Deraining CVPR 2021 Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection EACL 2021 MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding NAACL 2021 Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency? CVPR 2021 Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning ICML 2021 Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021 MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 Meta Label Correction for Noisy Label Learning AAAI 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021