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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)

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues AAAI 2020 Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages COLING 2020 Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives EMNLP 2020 Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training EMNLP 2020 MA-DST: Multi-Attention-Based Scalable Dialog State Tracking AAAI 2020 MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding EMNLP 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020 Maintaining Quality in FEVER Annotation ACL 2020 Make One-Shot Video Object Segmentation Efficient Again NeurIPS 2020 Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model EMNLP 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks CVPR 2020 Making Information Seeking Easier: An Improved Pipeline for Conversational Search EMNLP 2020 Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation EMNLP 2020 Making Non-Stochastic Control (Almost) as Easy as Stochastic NeurIPS 2020 MALA: Cross-Domain Dialogue Generation with Action Learning AAAI 2020 Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition CVPR 2020 Mapping Local News Coverage: Precise location extraction in textual news content using fine-tuned BERT based language model EMNLP 2020 MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI 2020 Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020 Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling EMNLP 2020 MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets AAAI 2020 Market Manipulation: An Adversarial Learning Framework for Detection and Evasion IJCAI 2020 Masked Based Unsupervised Content Transfer ICLR 2020 Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning SemEval 2020