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)

Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models COLING 2020 UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection SemEval 2020 UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection NeurIPS 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 Variational Adversarial Kernel Learned Imitation Learning AAAI 2020 Variational Amodal Object Completion NeurIPS 2020 Variational Bayesian Unlearning NeurIPS 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020 Variational Label Enhancement ICML 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 Vec2Sent: Probing Sentence Embeddings with Natural Language Generation COLING 2020 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection IJCAI 2020 Vector-Quantized Autoregressive Predictive Coding Interspeech 2020 Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge Interspeech 2020 Vector Quantized Temporally-Aware Correspondence Sparse Autoencoders for Zero-Resource Acoustic Unit Discovery Interspeech 2020 Verb Class Induction with Partial Supervision AAAI 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 VIBE: Video Inference for Human Body Pose and Shape Estimation CVPR 2020 Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning AAAI 2020 Video-Grounded Dialogues with Pretrained Generation Language Models ACL 2020 Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement NeurIPS 2020 Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract) AAAI 2020