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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)

A Mutual Information Regularization for Adversarial Training ACML 2021 An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis AAAI 2021 An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets IJCAI 2021 Analogical Image Translation for Fog Generation AAAI 2021 Analogical Proportions: Why They Are Useful in AI IJCAI 2021 Analysing the Noise Model Error for Realistic Noisy Label Data AAAI 2021 Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition EMNLP 2021 Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes EACL 2021 Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing Interspeech 2021 Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance EMNLP 2021 Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models EACL 2021 Analyzing the tree-layer structure of Deep Forests ICML 2021 An Analysis of LIME for Text Data AISTATS 2021 Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics ICLR 2021 Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms EMNLP 2021 An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract) AAAI 2021 An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech Interspeech 2021 An Attribute-Aligned Strategy for Learning Speech Representation Interspeech 2021 Anchor-Constrained Viterbi for Set-Supervised Action Segmentation CVPR 2021 An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection Interspeech 2021 An Efficient Algorithm for Cooperative Semi-Bandits ALT 2021 An Efficient Algorithm for Deep Stochastic Contextual Bandits AAAI 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation EMNLP 2021