Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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

Papers (including subtopics)

A Strong Baseline for Query Efficient Attacks in a Black Box Setting EMNLP 2021 A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech Interspeech 2021 A Study on Fine-Tuning wav2vec2.0 Model for the Task of Mispronunciation Detection and Diagnosis Interspeech 2021 A Survey of Machine Learning-Based Physics Event Generation IJCAI 2021 A Survey of Online Hate Speech through the Causal Lens EMNLP 2021 A Survey on Low-Resource Neural Machine Translation IJCAI 2021 A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios NAACL 2021 A Survey on Response Selection for Retrieval-based Dialogues IJCAI 2021 A Survey on Universal Adversarial Attack IJCAI 2021 A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021 Asymmetric Contextual Modulation for Infrared Small Target Detection WACV 2021 Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 Asymptotically Optimal Information-Directed Sampling COLT 2021 Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time ALT 2021 Asynchronous Active Learning with Distributed Label Querying IJCAI 2021 Asynchronous Decentralized Online Learning NeurIPS 2021 Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021 A Systematic Investigation of KB-Text Embedding Alignment at Scale ACL 2021 A Systematic Review of Reproducibility Research in Natural Language Processing EACL 2021 A Targeted Assessment of Incremental Processing in Neural Language Models and Humans ACL 2021 Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot EMNLP 2021 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021 A Theoretical Analysis of Fine-tuning with Linear Teachers NeurIPS 2021