conftrace_

Architectures

30,950 papers (33 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

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15

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17

27

39

43

74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

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Papers (including subtopics)

Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets ECCV 2024 \ensuremathα-Former: Local-Feature-Aware (L-FA) Transformer UAI 2024 Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields CVPR 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis NeurIPS 2024 Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning ICLR 2024 EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations ICLR 2024 EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows CoRL 2024 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivariant Deep Weight Space Alignment ICML 2024 Equivariant Diffusion for Crystal Structure Prediction ICML 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NeurIPS 2024 Equivariant Matrix Function Neural Networks ICLR 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms ICLR 2024 Equivariant spatio-hemispherical networks for diffusion MRI deconvolution NeurIPS 2024 ERQ: Error Reduction for Post-Training Quantization of Vision Transformers ICML 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers EMNLP 2024 ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers IJCAI 2024 Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024 Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data NeurIPS 2024 Estimating Extreme 3D Image Rotations using Cascaded Attention CVPR 2024