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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
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Papers (including subtopics)

Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study EMNLP 2021 What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021 What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension EMNLP 2021 What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels CVPR 2021 What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021 What Should Not Be Contrastive in Contrastive Learning ICLR 2021 What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021 What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models EMNLP 2021 What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult AAAI 2021 When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework CVPR 2021 When Are Solutions Connected in Deep Networks? NeurIPS 2021 When Do Curricula Work? ICLR 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training EMNLP 2021 When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks CVPR 2021 Where and What? Examining Interpretable Disentangled Representations CVPR 2021 Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach EMNLP 2021 Whitening for Self-Supervised Representation Learning ICML 2021 WhyAct: Identifying Action Reasons in Lifestyle Vlogs EMNLP 2021 Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability AAAI 2021