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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)

Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 Analyzing and Improving Optimal-Transport-based Adversarial Networks ICLR 2024 Analyzing Context Contributions in LLM-based Machine Translation EMNLP 2024 Analyzing Diffusion Models on Synthesizing Training Datasets ACML 2024 Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts EMNLP 2024 Analyzing the Domain Shift Immunity of Deep Homography Estimation WACV 2024 An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing CVPR 2024 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024 An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding NeurIPS 2024 An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements ACL 2024 An Empirical Study Into What Matters for Calibrating Vision-Language Models ICML 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 An Empirical Study of Multilingual Reasoning Distillation for Question Answering EMNLP 2024 An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains CVPR 2024 An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024 An Entropy-based Text Watermarking Detection Method ACL 2024 A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024 A New Benchmark and Model for Challenging Image Manipulation Detection AAAI 2024 A new machine-actionable corpus for ancient text restoration ACL 2024 A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection NeurIPS 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching NeurIPS 2024