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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)

Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction CVPR 2023 Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories ICLR 2023 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data? ACL 2023 Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023 Can Language Models Laugh at YouTube Short-form Videos? EMNLP 2023 Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk ACL 2023 Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge ACL 2023 Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields CVPR 2023 Canonical normalizing flows for manifold learning NeurIPS 2023 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS 2023 Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023 Can We Edit Factual Knowledge by In-Context Learning? EMNLP 2023 Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML 2023 Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization EMNLP 2023 Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? CVPR 2023 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023 CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion EMNLP 2023 Cascaded encoders for fine-tuning ASR models on overlapped speech Interspeech 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER EMNLP 2023 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NeurIPS 2023 Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023