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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)

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks CVPR 2018 Neural Adaptation Layers for Cross-domain Named Entity Recognition EMNLP 2018 Neural Adaptive Content-aware Internet Video Delivery OSDI 2018 Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis ACL 2018 Neural Approaches to Conversational AI ACL 2018 Neural Architecture Optimization NeurIPS 2018 Neural Baby Talk CVPR 2018 Neural Code Comprehension: A Learnable Representation of Code Semantics NeurIPS 2018 Neural Compositional Denotational Semantics for Question Answering EMNLP 2018 Neural Cross-Lingual Named Entity Recognition with Minimal Resources EMNLP 2018 Neural Document Summarization by Jointly Learning to Score and Select Sentences ACL 2018 Neural DrugNet EMNLP 2018 Neural Factor Graph Models for Cross-lingual Morphological Tagging ACL 2018 Neural Kinematic Networks for Unsupervised Motion Retargetting CVPR 2018 Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space EMNLP 2018 Neural Machine Translation Decoding with Terminology Constraints NAACL 2018 Neural Machine Translation for English-Tamil EMNLP 2018 Neural Machine Translation into Language Varieties EMNLP 2018 Neural Models of Factuality NAACL 2018 Neural Multitask Learning for Simile Recognition EMNLP 2018 Neural Natural Language Inference Models Enhanced with External Knowledge ACL 2018 Neural Nearest Neighbors Networks NeurIPS 2018 NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning CVPR 2018 Neural Open Information Extraction ACL 2018 Neural Particle Smoothing for Sampling from Conditional Sequence Models NAACL 2018