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)

ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021 Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021 ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021 Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks AAAI 2021 A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification CVPR 2021 Are BERTs Sensitive to Native Interference in L2 Production? EMNLP 2021 Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract) AAAI 2021 Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021 A Relation-Oriented Clustering Method for Open Relation Extraction EMNLP 2021 Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks ICLR 2021 Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task EMNLP 2021 A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings NAACL 2021 Are Transformers more robust than CNNs? NeurIPS 2021 A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms JMLR 2021 Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021 Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets EMNLP 2021 ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation ACL 2021 argmax centroid NeurIPS 2021 Argumentation-Driven Evidence Association in Criminal Cases EMNLP 2021 ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity ICLR 2021 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 A Robust Loss for Point Cloud Registration ICCV 2021 A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis EMNLP 2021 ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets EACL 2021 Artistic Style Transfer with Internal-external Learning and Contrastive Learning NeurIPS 2021