Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs EMNLP 2024 V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization EMNLP 2024 Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment ICML 2024 Vector Quantization Prompting for Continual Learning NeurIPS 2024 VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models EMNLP 2024 Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation CoRL 2024 VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning ACL 2024 VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 Verified Safe Reinforcement Learning for Neural Network Dynamic Models NeurIPS 2024 VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp EMNLP 2024 VeriScore: Evaluating the factuality of verifiable claims in long-form text generation EMNLP 2024 VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation EMNLP 2024 VHASR: A Multimodal Speech Recognition System With Vision Hotwords EMNLP 2024 Video-Based Human Pose Regression via Decoupled Space-Time Aggregation CVPR 2024 Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models ACL 2024 VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models EMNLP 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions CVPR 2024 VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models CVPR 2024 VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation CVPR 2024 Video Diffusion Models are Training-free Motion Interpreter and Controller NeurIPS 2024 Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches EMNLP 2024 Video Event Extraction with Multi-View Interaction Knowledge Distillation AAAI 2024 Video Frame Prediction from a Single Image and Events AAAI 2024 VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding CVPR 2024 VideoGUI: A Benchmark for GUI Automation from Instructional Videos NeurIPS 2024