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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74

94

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536

912

1,611

2,559

3,004

3,504

3,729

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1,439

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Papers (including subtopics)

An Evolved Universal Transformer Memory ICLR 2025 Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection SemEval 2025 AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction From Monocular Video CVPR 2025 AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction CVPR 2025 An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels ICLR 2025 AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation ICCV 2025 AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer CVPR 2025 A Novel Deep Learning Framework for Efficient Multichannel Acoustic Feedback Control Interspeech 2025 A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders MIDL 2025 A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification WACV 2025 ANTHROPOS-V: Benchmarking the Novel Task of Crowd Volume Estimation WACV 2025 Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding IJCAI 2025 An uncertainty principle for Linear Recurrent Neural Networks COLT 2025 Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks ICCV 2025 AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos CVPR 2025 AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation AAAI 2025 Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation AAAI 2025 A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language ICLR 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025 A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data ICML 2025 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025 Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding ICLR 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence ICLR 2025 Approximating Latent Manifolds in Neural Networks via Vanishing Ideals ICML 2025