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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)

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings NeurIPS 2024 LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback ACL 2024 LLMs Can Evolve Continually on Modality for X-Modal Reasoning NeurIPS 2024 LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives EMNLP 2024 LLMSegm: Surface-level Morphological Segmentation Using Large Language Model COLING 2024 LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024 LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024 LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024 LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors ICLR 2024 LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History EMNLP 2024 LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model AAAI 2024 L+M-24: Building a Dataset for Language+Molecules @ ACL 2024 ACL 2024 LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024 LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024 LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection SemEval 2024 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024 LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI SemEval 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Local and Global Decoding in Text Generation EMNLP 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding AAAI 2024 Local Graph Clustering with Noisy Labels ICLR 2024 Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024 Localised Natural Causal Learning Algorithms for Weak Consistency Conditions UAI 2024