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)

On the Suboptimality of Thompson Sampling in High Dimensions NeurIPS 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021 On the Value of Interaction and Function Approximation in Imitation Learning NeurIPS 2021 OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021 OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021 OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation NAACL 2021 OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification ACL 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021 Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021 OpenASR20: An Open Challenge for Automatic Speech Recognition of Conversational Telephone Speech in Low-Resource Languages Interspeech 2021 OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021 Open-domain clarification question generation without question examples EMNLP 2021 OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data EMNLP 2021 Open Hierarchical Relation Extraction NAACL 2021 Open Intent Extraction from Natural Language Interactions (Extended Abstract) IJCAI 2021 OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization NeurIPS 2021 OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics ACL 2021 OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021 Open-Set Audio Classification with Limited Training Resources Based on Augmentation Enhanced Variational Auto-Encoder GAN with Detection-Classification Joint Training Interspeech 2021 Open-set Label Noise Can Improve Robustness Against Inherent Label Noise NeurIPS 2021 Open-Set Recognition with Gaussian Mixture Variational Autoencoders AAAI 2021 Open-Vocabulary Object Detection Using Captions CVPR 2021 Open World Compositional Zero-Shot Learning CVPR 2021