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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)

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling EMNLP 2020 Test-Time Training with Self-Supervision for Generalization under Distribution Shifts ICML 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020 Text-based Person Search via Attribute-aided Matching WACV 2020 Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection COLING 2020 Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020 Text Classification with Negative Supervision ACL 2020 TextNAS: A Neural Architecture Search Space Tailored for Text Representation AAAI 2020 Text Style Transfer via Learning Style Instance Supported Latent Space IJCAI 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 Textual Membership Queries IJCAI 2020 Text Zoning and Classification for Job Advertisements in German, French and English EMNLP 2020 T-GD: Transferable GAN-generated Images Detection Framework ICML 2020 That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages Interspeech 2020 The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task AACL 2020 The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task AACL 2020 The ADAPT System Description for the WMT20 News Translation Task EMNLP 2020 The AFRL WMT20 News Translation Systems EMNLP 2020 The Attacker’s Perspective on Automatic Speaker Verification: An Overview Interspeech 2020 The Autoencoding Variational Autoencoder NeurIPS 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise NeurIPS 2020 The continuous categorical: a novel simplex-valued exponential family ICML 2020