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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)

Proactive Image Manipulation Detection CVPR 2022 Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022 Probabilistic Representations for Video Contrastive Learning CVPR 2022 Probing as Quantifying Inductive Bias ACL 2022 Probing BERT’s priors with serial reproduction chains ACL 2022 Probing Cross-modal Semantics Alignment Capability from the Textual Perspective EMNLP 2022 Probing for Constituency Structure in Neural Language Models EMNLP 2022 Probing for Predicate Argument Structures in Pretrained Language Models ACL 2022 Probing Multilingual Cognate Prediction Models ACL 2022 Probing phoneme, language and speaker information in unsupervised speech representations Interspeech 2022 Probing Representation Forgetting in Supervised and Unsupervised Continual Learning CVPR 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency ACL 2022 Probing the Robustness of Trained Metrics for Conversational Dialogue Systems ACL 2022 Probing with Noise: Unpicking the Warp and Weft of Embeddings EMNLP 2022 Procedural Image Programs for Representation Learning NeurIPS 2022 Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer EMNLP 2022 PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks EMNLP 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback EMNLP 2022 Programmatic Concept Learning for Human Motion Description and Synthesis CVPR 2022 Programmatic Reward Design by Example AAAI 2022 Progressive Distillation for Fast Sampling of Diffusion Models ICLR 2022 Progressive Sentiment Analysis for Code-Switched Text Data EMNLP 2022 projUNN: efficient method for training deep networks with unitary matrices NeurIPS 2022