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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)

Interpretabilty of Speech Emotion Recognition modelled using Self-Supervised Speech and Text Pre-Trained Embeddings Interspeech 2022 Interpretable Generative Adversarial Networks AAAI 2022 Interpretable Low-Resource Legal Decision Making AAAI 2022 Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks CVPR 2022 Interpretable Privacy Preservation of Text Representations Using Vector Steganography AAAI 2022 Interpretable Representation Learning from Temporal Multi-view Data ACML 2022 Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color ACL 2022 Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters AAAI 2022 Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals AAAI 2022 Intriguing Properties of Compression on Multilingual Models EMNLP 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 Introducing Variational Autoencoders to High School Students AAAI 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NeurIPS 2022 Invariant Action Effect Model for Reinforcement Learning AAAI 2022 Invariant Language Modeling EMNLP 2022 Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging ACL 2022 Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022 Investigating Failures of Automatic Translationin the Case of Unambiguous Gender ACL 2022 Investigating Math Word Problems using Pretrained Multilingual Language Models EMNLP 2022 Investigating Non-local Features for Neural Constituency Parsing ACL 2022 Investigating the Benefits of Free-Form Rationales EMNLP 2022 Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help? EMNLP 2022