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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)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024 How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space ACML 2024 How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NeurIPS 2024 How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? EACL 2024 How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024 How Do Humans Write Code? Large Models Do It the Same Way Too EMNLP 2024 How Do Large Language Models Acquire Factual Knowledge During Pretraining? NeurIPS 2024 How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024 How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024 How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024 How Far Can We Compress Instant-NGP-Based NeRF? CVPR 2024 How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics EMNLP 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NeurIPS 2024 How Learning by Reconstruction Produces Uninformative Features For Perception ICML 2024 How many classifiers do we need? NeurIPS 2024 How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models EMNLP 2024 How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering ACL 2024 How to Configure Good In-Context Sequence for Visual Question Answering CVPR 2024 How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection AAAI 2024 How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks UAI 2024 How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective EMNLP 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models EMNLP 2024 How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection EMNLP 2024 HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation CVPR 2024