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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)

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages EMNLP 2021 IRM—when it works and when it doesn't: A test case of natural language inference NeurIPS 2021 Is Active Learning Always Beneficial? (Student Abstract) AAAI 2021 Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence NeurIPS 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability EMNLP 2021 Is Domain Adaptation Worth Your Investment? Comparing BERT and FinBERT on Financial Tasks EMNLP 2021 ISD: Self-Supervised Learning by Iterative Similarity Distillation ICCV 2021 Is Everything in Order? A Simple Way to Order Sentences EMNLP 2021 Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study EMNLP 2021 Issues with Entailment-based Zero-shot Text Classification ACL 2021 Is this the end of the gold standard? A straightforward reference-less grammatical error correction metric EMNLP 2021 IST-Unbabel 2021 Submission for the Quality Estimation Shared Task EMNLP 2021 Item Response Ranking for Cognitive Diagnosis IJCAI 2021 Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning ICCV 2021 Iterative Teacher-Aware Learning NeurIPS 2021 Iterative Teaching by Label Synthesis NeurIPS 2021 It is better to Verify: Semi-Supervised Learning with a human in the loop for large-scale NLU models NAACL 2021 ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction SemEval 2021 It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning EMNLP 2021