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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

On the Diversity and Limits of Human Explanations NAACL 2022 On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022 On the effectiveness of adversarial training against common corruptions UAI 2022 On the Effectiveness of Automated Metrics for Text Generation Systems EMNLP 2022 On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning NeurIPS 2022 On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning NAACL 2022 On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks WACV 2022 On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022 On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NeurIPS 2022 On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals AAAI 2022 On the Episodic Difficulty of Few-shot Learning ACML 2022 On the expressivity of bi-Lipschitz normalizing flows ACML 2022 On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022 On the Generalization Analysis of Adversarial Learning ICML 2022 On the Global Optimum Convergence of Momentum-based Policy Gradient AISTATS 2022 On the Identifiability of Nonlinear ICA: Sparsity and Beyond NeurIPS 2022 On the Impact of Noises in Crowd-Sourced Data for Speech Translation ACL 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 On the Impact of Temporal Concept Drift on Model Explanations EMNLP 2022 On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022 On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022 On the Importance of Effectively Adapting Pretrained Language Models for Active Learning ACL 2022 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022 On The Ingredients of an Effective Zero-shot Semantic Parser ACL 2022 On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity NeurIPS 2022