Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Generate & Rank: A Multi-task Framework for Math Word Problems EMNLP 2021 Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text AAAI 2021 Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 Generating adversarial examples with graph neural networks UAI 2021 Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021 Generating Datasets with Pretrained Language Models EMNLP 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model NAACL 2021 Generating Query Focused Summaries from Query-Free Resources ACL 2021 Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021 Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning EMNLP 2021 Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs EACL 2021 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 Generative Adversarial Neural Architecture Search IJCAI 2021 Generative Adversarial Registration for Improved Conditional Deformable Templates ICCV 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Generative Interventions for Causal Learning CVPR 2021 Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Generative vs. Discriminative: Rethinking The Meta-Continual Learning NeurIPS 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Generic Oracles for Structured Prediction ACL 2021 Generic resources are what you need: Style transfer tasks without task-specific parallel training data EMNLP 2021 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement NeurIPS 2021