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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)

MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020 MetaSDF: Meta-Learning Signed Distance Functions NeurIPS 2020 Meta Segmentation Network for Ultra-Resolution Medical Images IJCAI 2020 Meta-Transfer Learning for Zero-Shot Super-Resolution CVPR 2020 Methods for Numeracy-Preserving Word Embeddings EMNLP 2020 mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols EMNLP 2020 Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP EMNLP 2020 MIND: A Large-scale Dataset for News Recommendation ACL 2020 Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding EMNLP 2020 MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images CVPR 2020 MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NeurIPS 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation AAAI 2020 Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition Interspeech 2020 Mining Knowledge for Natural Language Inference from Wikipedia Categories EMNLP 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 MIPaaL: Mixed Integer Program as a Layer AAAI 2020 Mirror-Generative Neural Machine Translation ICLR 2020 Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NeurIPS 2020 Mitigating Gender Bias in Machine Translation with Target Gender Annotations EMNLP 2020 Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models ICLR 2020 MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020 MLCVNet: Multi-Level Context VoteNet for 3D Object Detection CVPR 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020 MLQA: Evaluating Cross-lingual Extractive Question Answering ACL 2020