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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)

Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision AAAI 2024 ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving NeurIPS 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NeurIPS 2024 Z*: Zero-shot Style Transfer via Attention Reweighting CVPR 2024 ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning ACL 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 k-Means Clustering with Distance-Based Privacy NeurIPS 2023 $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games ICLR 2023 p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison NeurIPS 2023 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision ICCV 2023 2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition EMNLP 2023 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation ICCV 2023 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces ICCV 2023 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack ICCV 2023 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels CVPR 2023 3D Human Pose Estimation via Intuitive Physics CVPR 2023 3D Indoor Instance Segmentation in an Open-World NeurIPS 2023 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets ICCV 2023 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation AAAI 2023 4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders Interspeech 2023 4M: Massively Multimodal Masked Modeling NeurIPS 2023 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning NeurIPS 2023 AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023