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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)

ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image CVPR 2024 An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models ECCV 2024 An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning ICML 2024 An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance EMNLP 2024 Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding NeurIPS 2024 ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement Interspeech 2024 An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions EMNLP 2024 An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS Interspeech 2024 An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification EMNLP 2024 An LLM Feature-based Framework for Dialogue Constructiveness Assessment EMNLP 2024 Annotating FrameNet via Structure-Conditioned Language Generation ACL 2024 Annotation-Free Audio-Visual Segmentation WACV 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024 AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024 Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024 A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation ACL 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction IJCAI 2024 A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NeurIPS 2024 Any-dimensional equivariant neural networks AISTATS 2024 AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model EMNLP 2024 Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching AAAI 2024 AnyTrans: Translate AnyText in the Image with Large Scale Models EMNLP 2024 A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts WACV 2024