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)

Transfer Learning via Learning to Transfer ICML 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging EMNLP 2018 Transition-based Adversarial Network for Cross-lingual Aspect Extraction IJCAI 2018 Translating a Language You Don’t Know In the Chinese Room ACL 2018 Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior IJCAI 2018 Translations as Additional Contexts for Sentence Classification IJCAI 2018 Tree-based Bayesian Mixture Model for Competing Risks AISTATS 2018 Triangular Architecture for Rare Language Translation ACL 2018 Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions ACL 2018 Tri-net for Semi-Supervised Deep Learning IJCAI 2018 TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING ICLR 2018 Turbo Learning for CaptionBot and DrawingBot NeurIPS 2018 Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable ACL 2018 TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification EMNLP 2018 UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networks EMNLP 2018 UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models EMNLP 2018 UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018 UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish SemEval 2018 Ultra-Fine Entity Typing ACL 2018 UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings SemEval 2018 UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones SemEval 2018 Unbiased Learning-to-Rank with Biased Feedback IJCAI 2018 UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes SemEval 2018 Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision IJCAI 2018