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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)

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021 ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs AAAI 2021 Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting AAAI 2021 Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks AAAI 2021 ESTIME: Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings EMNLP 2021 Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ACL 2021 Evaluating Multiway Multilingual NMT in the Turkic Languages EMNLP 2021 Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021 EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS ICLR 2021 EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation CVPR 2021 Evidence-based Factual Error Correction ACL 2021 Evidence Selection as a Token-Level Prediction Task EMNLP 2021 Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm AAAI 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 Evolving Reinforcement Learning Algorithms ICLR 2021 Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks AAAI 2021 Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes EMNLP 2021 Examining the Inductive Bias of Neural Language Models with Artificial Languages ACL 2021 Exemplar-Based Open-Set Panoptic Segmentation Network CVPR 2021 Explainable Models with Consistent Interpretations AAAI 2021 Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning NeurIPS 2021 Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation EMNLP 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021 Explaining Deep Learning Models for Speech Enhancement Interspeech 2021 Explanation-based Data Augmentation for Image Classification NeurIPS 2021