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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)

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020 BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance ACL 2020 BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020 Bert Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets COLING 2020 Better Captioning With Sequence-Level Exploration CVPR 2020 Better Highlighting: Creating Sub-Sentence Summary Highlights EMNLP 2020 Beyond Language: Learning Commonsense from Images for Reasoning EMNLP 2020 Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels ICML 2020 Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation ACL 2020 BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector CVPR 2020 Bi3D: Stereo Depth Estimation via Binary Classifications CVPR 2020 BiDet: An Efficient Binarized Object Detector CVPR 2020 Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation IJCAI 2020 Bi-Directional Generation for Unsupervised Domain Adaptation AAAI 2020 Bidirectional Model-based Policy Optimization ICML 2020 Bi-Directional Relationship Inferring Network for Referring Image Segmentation CVPR 2020 BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation CVPR 2020 Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts Interspeech 2020 Big Bird: Transformers for Longer Sequences NeurIPS 2020 Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification EMNLP 2020 Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences ACL 2020 Binarized Neural Architecture Search AAAI 2020 BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition EMNLP 2020 Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020 Biological credit assignment through dynamic inversion of feedforward networks NeurIPS 2020