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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)

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases ICCV 2021 Temporal Modulation Network for Controllable Space-Time Video Super-Resolution CVPR 2021 Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision AAAI 2021 Temporal Relational Modeling with Self-Supervision for Action Segmentation AAAI 2021 Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021 TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths EMNLP 2021 Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task EMNLP 2021 TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task EMNLP 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 Test Harder than You Train: Probing with Extrapolation Splits EMNLP 2021 TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NeurIPS 2021 Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021 Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction ACL 2021 Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries EMNLP 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021 TextGAIL: Generative Adversarial Imitation Learning for Text Generation AAAI 2021 TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text CVPR 2021 TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling ACL 2021 Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations ACL 2021 Textual Representations for Crosslingual Information Retrieval ACL 2021 Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer ACL 2021 The Adapter-Bot: All-In-One Controllable Conversational Model AAAI 2021 The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing ACL 2021 The balancing principle for parameter choice in distance-regularized domain adaptation NeurIPS 2021 The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models ACL 2021