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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
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'25

Papers (including subtopics)

QASem Parsing: Text-to-text Modeling of QA-based Semantics EMNLP 2022 Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022 Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task EMNLP 2022 Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NeurIPS 2022 QuALITY: Question Answering with Long Input Texts, Yes! NAACL 2022 Quantifying and Learning Linear Symmetry-Based Disentanglement ICML 2022 Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record ACL 2022 Quantifying Language Variation Acoustically with Few Resources NAACL 2022 Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022 Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging CVPR 2022 QUARK: Controllable Text Generation with Reinforced Unlearning NeurIPS 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022 Question Answering Infused Pre-training of General-Purpose Contextualized Representations ACL 2022 Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask ACL 2022 QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022 R3 : Refined Retriever-Reader pipeline for Multidoc2dial ACL 2022 Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition SemEval 2022 RACE: Retrieval-augmented Commit Message Generation EMNLP 2022 Rakuten’s Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity COLING 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NeurIPS 2022 Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense NeurIPS 2022 RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NeurIPS 2022 RankGen: Improving Text Generation with Large Ranking Models EMNLP 2022 Ranking-Constrained Learning with Rationales for Text Classification ACL 2022