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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)

HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023 Hints on the data for language modeling of synthetic languages with transformers ACL 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions NeurIPS 2023 HistAlign: Improving Context Dependency in Language Generation by Aligning with History EMNLP 2023 History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion ACL 2023 Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News SemEval 2023 HNeRV: A Hybrid Neural Representation for Videos CVPR 2023 HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models CVPR 2023 Holographic CCG Parsing ACL 2023 Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions ICML 2023 HonestBait: Forward References for Attractive but Faithful Headline Generation ACL 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 Householder Projector for Unsupervised Latent Semantics Discovery ICCV 2023 How Does Generative Retrieval Scale to Millions of Passages? EMNLP 2023 How does the task complexity of masked pretraining objectives affect downstream performance? ACL 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023 How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization ICLR 2023 How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules ICLR 2023 How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning Interspeech 2023 How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives ACL 2023 How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections ICLR 2023