Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data ICCV 2021 El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing EACL 2021 EmailSum: Abstractive Email Thread Summarization ACL 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2021 Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ACL 2021 Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021 Embodied Semantic Scene Graph Generation CoRL 2021 Embodied Visual Active Learning for Semantic Segmentation AAAI 2021 Embracing Ambiguity: Shifting the Training Target of NLI Models ACL 2021 Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data AAAI 2021 Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding CVPR 2021 Emergent Prosociality in Multi-Agent Games Through Gifting IJCAI 2021 Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021 Emerging Properties in Self-Supervised Vision Transformers ICCV 2021 Emoji-Based Transfer Learning for Sentiment Tasks EACL 2021 Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data EACL 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Empirical or Invariant Risk Minimization? A Sample Complexity Perspective ICLR 2021 Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 Enabling Fast Instruction-Based Modification of Learned Robot Skills AAAI 2021 Encoder-Decoder With Multi-Level Attention for 3D Human Shape and Pose Estimation ICCV 2021 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning AAAI 2021