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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data CVPR 2018 Adversarial Domain Adaptation for Duplicate Question Detection EMNLP 2018 Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL 2018 Adversarial Examples that Fool both Computer Vision and Time-Limited Humans NeurIPS 2018 Adversarial Feature-Mapping for Speech Enhancement Interspeech 2018 Adversarial Learning with Local Coordinate Coding ICML 2018 Adversarially Learned One-Class Classifier for Novelty Detection CVPR 2018 Adversarially Occluded Samples for Person Re-Identification CVPR 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018 Adversarially Robust Generalization Requires More Data NeurIPS 2018 Adversarial Neural Machine Translation ACML 2018 Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models CoNLL 2018 Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization EMNLP 2018 Adversarial Regularizers in Inverse Problems NeurIPS 2018 Adversarial Scene Editing: Automatic Object Removal from Weak Supervision NeurIPS 2018 Adversarial Time-to-Event Modeling ICML 2018 Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification EMNLP 2018 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism EMNLP 2018 AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets SemEval 2018 A flexible model for training action localization with varying levels of supervision NeurIPS 2018 A Framework for Understanding the Role of Morphology in Universal Dependency Parsing EMNLP 2018 A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts CVPR 2018 Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018 A Helping Hand: Transfer Learning for Deep Sentiment Analysis ACL 2018 A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check EMNLP 2018