Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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5
1
2
47
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87
90
125
229
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
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Papers (including subtopics)
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
NeurIPS 2024
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
AAAI 2024
Frequency Attention for Knowledge Distillation
WACV 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
AAAI 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation
NeurIPS 2024
Frequency-Aware Transformer for Learned Image Compression
ICLR 2024
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
AAAI 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
CVPR 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
CVPR 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
NeurIPS 2024
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
NeurIPS 2024
FRIH: Fine-Grained Region-Aware Image Harmonization
AAAI 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations
WACV 2024
Frogs into princes: A generative model to understand the success of product descriptions
COLING 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
CVPR 2024
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
NeurIPS 2024
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
CVPR 2024
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
MIDL 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
ICLR 2024
From Chaos to Clarity: 3DGS in the Dark
NeurIPS 2024
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
ICML 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024