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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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Papers (including subtopics)

Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate ICCV 2021 Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models ICCV 2021 Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning NAACL 2021 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition IJCAI 2021 Adv-OLM: Generating Textual Adversaries via OLM EACL 2021 AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER ACL 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021 AESOP: Abstract Encoding of Stories, Objects, and Pictures ICCV 2021 AESOP: Paraphrase Generation with Adaptive Syntactic Control EMNLP 2021 A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach EMNLP 2021 A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing ACL 2021 AFEC: Active Forgetting of Negative Transfer in Continual Learning NeurIPS 2021 A Few Topical Tweets are Enough for Effective User Stance Detection EACL 2021 Affordance Transfer Learning for Human-Object Interaction Detection CVPR 2021 A Fine-Grained Analysis of BERTScore EMNLP 2021 A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging EMNLP 2021 A flexible model-free prediction-based framework for feature ranking JMLR 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning Interspeech 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 A General Framework for Adversarial Label Learning JMLR 2021 A General Framework For Detecting Anomalous Inputs to DNN Classifiers ICML 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 A General Recurrent Tracking Framework Without Real Data ICCV 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021