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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)

Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards UAI 2024 Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning EACL 2024 BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024 BotEval: Facilitating Interactive Human Evaluation ACL 2024 Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence ACL 2024 Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation MIDL 2024 Boundary Matters: A Bi-Level Active Finetuning Method NeurIPS 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking NeurIPS 2024 BrainLM: A foundation model for brain activity recordings ICLR 2024 Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-Weighted Brain MR Images WACV 2024 BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ACL 2024 BrainWash: A Poisoning Attack to Forget in Continual Learning CVPR 2024 Branch-GAN: Improving Text Generation with (not so) Large Language Models ICLR 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024 Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024 Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024 Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack NeurIPS 2024 Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NeurIPS 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection NeurIPS 2024 Bridge the Points: Graph-based Few-shot Segment Anything Semantically NeurIPS 2024 Bridging Child-Centered Speech Language Identification and Language Diarization via Phonetics Interspeech 2024 Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning ICML 2024