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)

Towards Language-Free Training for Text-to-Image Generation CVPR 2022 Towards Learning (Dis)-Similarity of Source Code from Program Contrasts ACL 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks NeurIPS 2022 Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation ACL 2022 Towards Multi-label Unknown Intent Detection COLING 2022 Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings COLING 2022 Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP 2022 Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation CVPR 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022 Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract) AAAI 2022 Towards Open-Domain Topic Classification NAACL 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022 Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 Towards Responsible Natural Language Annotation for the Varieties of Arabic ACL 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Towards Robust Adaptive Object Detection Under Noisy Annotations CVPR 2022 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective CVPR 2022 Towards Robust and Reproducible Active Learning Using Neural Networks CVPR 2022 Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer NAACL 2022 Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022 Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding AAAI 2022