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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)

Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning NeurIPS 2022 Efficient (Soft) Q-Learning for Text Generation with Limited Good Data EMNLP 2022 Efficient Test-Time Model Adaptation without Forgetting ICML 2022 Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers ACL 2022 Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning ACL 2022 Egocentric Video-Language Pretraining NeurIPS 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval CVPR 2022 EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization ACL 2022 Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion ACL 2022 Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022 ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses CVPR 2022 ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models NeurIPS 2022 ELIAS: End-to-End Learning to Index and Search in Large Output Spaces NeurIPS 2022 Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation IJCAI 2022 ELLE: Efficient Lifelong Pre-training for Emerging Data ACL 2022 ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022 Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric EMNLP 2022 Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NeurIPS 2022 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition ACML 2022 Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022 Embrace the Gap: VAEs Perform Independent Mechanism Analysis NeurIPS 2022 Emergent Language-Based Coordination In Deep Multi-Agent Systems EMNLP 2022 EMOCA: Emotion Driven Monocular Face Capture and Animation CVPR 2022 Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models ACL 2022 Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval EMNLP 2022