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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)
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Papers (including subtopics)

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023 Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings NeurIPS 2023 Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration CVPR 2023 Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CoRL 2023 AutoRecon: Automated 3D Object Discovery and Reconstruction CVPR 2023 Autoregressive Diffusion Model for Graph Generation ICML 2023 Auto Search Indexer for End-to-End Document Retrieval EMNLP 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks ICLR 2023 Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023 Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023 Auxiliary Losses for Learning Generalizable Concept-based Models NeurIPS 2023 Avalanche: A PyTorch Library for Deep Continual Learning JMLR 2023 Average Token Delay: A Latency Metric for Simultaneous Translation Interspeech 2023 AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR CVPR 2023 Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance WACV 2023 AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation ACL 2023 A Weakly Supervised Classifier and Dataset of White Supremacist Language ACL 2023 A Weakly-Supervised Learning Approach to the Identification of “Alternative Lexicalizations” in Shallow Discourse Parsing ACL 2023 A weakly supervised textual entailment approach to zero-shot text classification EACL 2023 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023 A Zero-Shot Language Agent for Computer Control with Structured Reflection EMNLP 2023 BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models Interspeech 2023 Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger CVPR 2023