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)

Read and Attend: Temporal Localisation in Sign Language Videos CVPR 2021 Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking AAAI 2021 Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model Interspeech 2021 ReasonBERT: Pre-trained to Reason with Distant Supervision EMNLP 2021 Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer EMNLP 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NeurIPS 2021 Recall and Learn: A Memory-augmented Solver for Math Word Problems EMNLP 2021 RECALL: Replay-Based Continual Learning in Semantic Segmentation ICCV 2021 Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Recent Advances in Heterogeneous Relation Learning for Recommendation IJCAI 2021 Reciprocal Landmark Detection and Tracking With Extremely Few Annotations CVPR 2021 Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features Interspeech 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021 Reconciling Rewards with Predictive State Representations IJCAI 2021 Reconsidering Representation Alignment for Multi-View Clustering CVPR 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising CVPR 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts NeurIPS 2021 Recovering Lexically and Semantically Reused Texts ACL 2021 Rectification-Based Knowledge Retention for Continual Learning CVPR 2021 Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NeurIPS 2021 Recurrent Independent Mechanisms ICLR 2021 Recurrent Mask Refinement for Few-Shot Medical Image Segmentation ICCV 2021 Recurrent Multi-View Alignment Network for Unsupervised Surface Registration CVPR 2021 Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits NeurIPS 2021