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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)

Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection CVPR 2023 Object Discovery From Motion-Guided Tokens CVPR 2023 ObjectStitch: Object Compositing With Diffusion Model CVPR 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023 Offensive Language Identification in Transliterated and Code-Mixed Bangla EMNLP 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NeurIPS 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 Off-Policy Proximal Policy Optimization AAAI 2023 OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization CVPR 2023 OmniMAE: Single Model Masked Pretraining on Images and Videos CVPR 2023 On Complementarity Objectives for Hybrid Retrieval ACL 2023 On Compositional Uncertainty Quantification for Seq2seq Graph Parsing ICLR 2023 On Conditional and Compositional Language Model Differentiable Prompting IJCAI 2023 On Data Scaling in Masked Image Modeling CVPR 2023 On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer Interspeech 2023 On Distillation of Guided Diffusion Models CVPR 2023 One Fits All: Power General Time Series Analysis by Pretrained LM NeurIPS 2023 One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer EMNLP 2023 One-for-All: Proposal Masked Cross-Class Anomaly Detection AAAI 2023 One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation AAAI 2023 One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023 One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023