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 Better Understanding of Training Certifiably Robust Models against Adversarial Examples NeurIPS 2021 Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning CVPR 2021 Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution NAACL 2021 Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 2021 Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation EMNLP 2021 Towards Discovery and Attribution of Open-World GAN Generated Images ICCV 2021 Towards Discriminative Representation Learning for Unsupervised Person Re-Identification ICCV 2021 Towards Distraction-Robust Active Visual Tracking ICML 2021 Towards Domain-Agnostic Contrastive Learning ICML 2021 Towards Domain Invariant Single Image Dehazing AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Efficient and Effective Adversarial Training NeurIPS 2021 Towards Emotional Support Dialog Systems ACL 2021 Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach EACL 2021 Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021 Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021 Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021 Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis ICLR 2021 Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021 Towards Generative Aspect-Based Sentiment Analysis ACL 2021 Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets CVPR 2021 Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing ICCV 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021