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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)

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length ICLR 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection CVPR 2023 CIRCLE: Capture in Rich Contextual Environments CVPR 2023 CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval ACL 2023 Citance-Contextualized Summarization of Scientific Papers EMNLP 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling Approaches for NER SemEval 2023 CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose CVPR 2023 CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training ACL 2023 Class Adaptive Network Calibration CVPR 2023 Class Attention Transfer Based Knowledge Distillation CVPR 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings Interspeech 2023 Class-Incremental Exemplar Compression for Class-Incremental Learning CVPR 2023 Class-Incremental Learning based on Label Generation ACL 2023 Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation AAAI 2023 Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation CVPR 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 ClimaX: A foundation model for weather and climate ICML 2023 CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data CVPR 2023 CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection NeurIPS 2023 CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval CVPR 2023 CLIPPO: Image-and-Language Understanding From Pixels Only CVPR 2023 CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels AAAI 2023 CLIP the Gap: A Single Domain Generalization Approach for Object Detection CVPR 2023