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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)

Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks JMLR 2023 Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming AAAI 2023 Implicit Graph Neural Networks: A Monotone Operator Viewpoint ICML 2023 Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization CVPR 2023 Implicit Temporal Modeling with Learnable Alignment for Video Recognition ICCV 2023 Improved Contextualized Speech Representations for Tonal Analysis Interspeech 2023 Improved Test-Time Adaptation for Domain Generalization CVPR 2023 Improved Training of Deep Text Clustering EMNLP 2023 Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023 Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process ICML 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 Improving Bilingual TTS Using Language And Phonology Embedding With Embedding Strength Modulator Interspeech 2023 Improving Biomedical Entity Linking with Cross-Entity Interaction AAAI 2023 Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling EMNLP 2023 Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers ACL 2023 Improving CLIP Training with Language Rewrites NeurIPS 2023 Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles CVPR 2023 Improving Contrastive Learning of Sentence Embeddings from AI Feedback ACL 2023 Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE EMNLP 2023 Improving Crowded Object Detection via Copy-Paste AAAI 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise ACML 2023 Improving Distantly Supervised Relation Extraction by Natural Language Inference AAAI 2023 Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis EMNLP 2023 Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts ACL 2023