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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)

Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings EMNLP 2022 Exploring Geometric Consistency for Monocular 3D Object Detection CVPR 2022 Exploring Length Generalization in Large Language Models NeurIPS 2022 Exploring Logographic Image for Chinese Aspect-based Sentiment Classification EMNLP 2022 Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022 Exploring Motion and Appearance Information for Temporal Sentence Grounding AAAI 2022 Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis EMNLP 2022 Exploring Safer Behaviors for Deep Reinforcement Learning AAAI 2022 Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation EMNLP 2022 Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors ACL 2022 Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning ICML 2022 Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding ACL 2022 Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction Interspeech 2022 Exploring the Latent Space of Autoencoders with Interventional Assays NeurIPS 2022 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models NeurIPS 2022 Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks EMNLP 2022 Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022 Expressive Talking Head Generation With Granular Audio-Visual Control CVPR 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022 Extracting Operator Trees from Model Embeddings EMNLP 2022 Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking ACL 2022 Extractive Knowledge Distillation WACV 2022 Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance EMNLP 2022 Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training ACL 2022 Extreme Zero-Shot Learning for Extreme Text Classification NAACL 2022