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Deep Learning
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Pretraining
2471 directly classified papers
Papers per year
2009: 2
2010: 1
2012: 1
2013: 1
2014: 4
2015: 5
2016: 19
2017: 26
2018: 33
2019: 117
2020: 218
2021: 311
2022: 333
2023: 451
2024: 448
2025: 373
2026: 128
Papers
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training
CVPR 2024
Time- Memory- and Parameter-Efficient Visual Adaptation
CVPR 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction
INTERSPEECH 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
EMNLP 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NIPS 2024
CapHuman: Capture Your Moments in Parallel Universes
CVPR 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
CVPR 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
On the Generalization Ability of Unsupervised Pretraining
AISTATS 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification
SEMEVAL 2024
Textual-Driven Adversarial Purification for Speaker Verification
INTERSPEECH 2024
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
IJCAI 2024
UDON: Universal Dynamic Online distillatioN for generic image representations
NIPS 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
AAAI 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NIPS 2024
SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech
INTERSPEECH 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
NIPS 2024
BioCLIP: A Vision Foundation Model for the Tree of Life
CVPR 2024
S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
CVPR 2024
Pre-training Vision Models with Mandelbulb Variations
CVPR 2024
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less
NAACL 2024
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