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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)

Benchmarking: Past, Present and Future ACL 2021 Benchmarking Representation Learning for Natural World Image Collections CVPR 2021 Benchmarking Unsupervised Object Representations for Video Sequences JMLR 2021 Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 “Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification? EMNLP 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer SemEval 2021 BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks ACL 2021 BERT Cannot Align Characters EMNLP 2021 BERTective: Language Models and Contextual Information for Deception Detection EACL 2021 BERTGen: Multi-task Generation through BERT ACL 2021 BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021 BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? ACL 2021 BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation EMNLP 2021 BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets EMNLP 2021 BESA: BERT-based Simulated Annealing for Adversarial Text Attacks IJCAI 2021 Best Arm Identification in Graphical Bilinear Bandits ICML 2021 Best-case lower bounds in online learning NeurIPS 2021 Best Model Identification: A Rested Bandit Formulation ICML 2021 Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental ACL 2021 Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning Interspeech 2021 Better Aggregation in Test-Time Augmentation ICCV 2021 Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback AAAI 2021 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NeurIPS 2021