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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
ACL 2024
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
AAAI 2024
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
AAAI 2024
SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization
AAAI 2024
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
AAAI 2024
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations
AAAI 2024
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
AAAI 2024
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
AAAI 2024
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
AAAI 2024
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
AAAI 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Best of Both Worlds: Learning Arbitrary-Scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency
WACV 2024
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
NIPS 2024
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
AAAI 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
NIPS 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
NIPS 2024
Neural Image Compression Using Masked Sparse Visual Representation
WACV 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NIPS 2024
Parallel Backpropagation for Shared-Feature Visualization
NIPS 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
NIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NIPS 2024
Neural Persistence Dynamics
NIPS 2024
CoSy: Evaluating Textual Explanations of Neurons
NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NIPS 2024
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
AAAI 2024
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