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)

Scheduling jobs with stochastic holding costs NeurIPS 2021 SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition WACV 2021 SciConceptMiner: A system for large-scale scientific concept discovery ACL 2021 Screening for Depressed Individuals by Using Multimodal Social Media Data AAAI 2021 Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace ICCV 2021 Scribble-Supervised Semantic Segmentation Inference ICCV 2021 Script Parsing with Hierarchical Sequence Modelling ACL 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance CVPR 2021 SDM-Net: A simple and effective model for generalized zero-shot learning UAI 2021 SD-QA: Spoken Dialectal Question Answering for the Real World EMNLP 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021 SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency NeurIPS 2021 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution EMNLP 2021 Searching for Fast Model Families on Datacenter Accelerators CVPR 2021 Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity EMNLP 2021 Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data ICCV 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021 Secoco: Self-Correcting Encoding for Neural Machine Translation EMNLP 2021 SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021 SEED: Self-supervised Distillation For Visual Representation ICLR 2021 Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation NAACL 2021 Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment ICCV 2021 See More for Scene: Pairwise Consistency Learning for Scene Classification NeurIPS 2021 Segatron: Segment-Aware Transformer for Language Modeling and Understanding AAAI 2021