Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Prefix-Tuning Based Unsupervised Text Style Transfer EMNLP 2023 Preserve Context Information for Extract-Generate Long-Input Summarization Framework AAAI 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer AAAI 2023 Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features ACL 2023 Pre-trained Language Models Can be Fully Zero-Shot Learners ACL 2023 Pre-trained Personalized Review Summarization with Effective Salience Estimation ACL 2023 Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning NeurIPS 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023 Pre-training Multi-party Dialogue Models with Latent Discourse Inference ACL 2023 Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding EMNLP 2023 Pre-Training to Learn in Context ACL 2023 PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023 Principled Weight Initialisation for Input-Convex Neural Networks NeurIPS 2023 Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023 Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering AAAI 2023 PRISE: Demystifying Deep Lucas-Kanade With Strongly Star-Convex Constraints for Multimodel Image Alignment CVPR 2023 Privacy-Preserving Adversarial Facial Features CVPR 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023 Procedure-Aware Pretraining for Instructional Video Understanding CVPR 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023