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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)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning NeurIPS 2023 CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023 Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing EMNLP 2023 Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents NeurIPS 2023 Calibrated Teacher for Sparsely Annotated Object Detection AAAI 2023 Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023 Calibrating Multimodal Learning ICML 2023 Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023 Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NeurIPS 2023 CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023 CAME: Contrastive Automated Model Evaluation ICCV 2023 Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID WACV 2023 Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification ICCV 2023 CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-Wild 2D Annotations WACV 2023 CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches NeurIPS 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate EMNLP 2023 Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? EMNLP 2023 Can ChatGPT Understand Causal Language in Science Claims? ACL 2023 Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data? ACL 2023 Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning ICCV 2023 CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning ICLR 2023