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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

The Balanced-Pairwise-Affinities Feature Transform ICML 2024 The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Data Addition Dilemma MLHC 2024 The data-driven transferable adversarial space ACML 2024 The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding CVPR 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024 The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations EMNLP 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention EMNLP 2024 The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL 2024 The GAN is dead; long live the GAN! A Modern GAN Baseline NeurIPS 2024 The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ACL 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Impact of Language Adapters in Cross-Lingual Transfer for NLU EACL 2024 The Impact of Reasoning Step Length on Large Language Models ACL 2024 The Instinctive Bias: Spurious Images lead to Illusion in MLLMs EMNLP 2024 The Inter-batch Diversity of Samples in Experience Replay for Continual Learning AAAI 2024 The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI EMNLP 2024 The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing ICLR 2024 The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification EMNLP 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models NeurIPS 2024