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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)

Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) AAAI 2021 Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ACL 2021 Improving Machine Translation of Rare and Unseen Word Senses EMNLP 2021 Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning EMNLP 2021 Improving Model Generalization: A Chinese Named Entity Recognition Case Study ACL 2021 Improving Multilingual Neural Machine Translation with Auxiliary Source Languages EMNLP 2021 Improving Multilingual Translation by Representation and Gradient Regularization EMNLP 2021 Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis EMNLP 2021 Improving Multi-Party Dialogue Discourse Parsing via Domain Integration EMNLP 2021 Improving Multiple Object Tracking With Single Object Tracking CVPR 2021 Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning ACL 2021 Improving Neural Machine Translation by Bidirectional Training EMNLP 2021 Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship CVPR 2021 Improving Panoptic Segmentation at All Scales CVPR 2021 Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement Interspeech 2021 Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment ACL 2021 Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding EMNLP 2021 Improving Punctuation Restoration for Speech Transcripts via External Data EMNLP 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting EMNLP 2021 Improving Sign Language Translation With Monolingual Data by Sign Back-Translation CVPR 2021 Improving Similar Language Translation With Transfer Learning EMNLP 2021 Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task ACL 2021 Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation EMNLP 2021