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

2

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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)

IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A ICCV 2025 iMoT: Inertial Motion Transformer for Inertial Navigation AAAI 2025 IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling ICML 2025 Impacts of Vocoder Selection on Tacotron-based Nepali Text-To-Speech Synthesis COLING 2025 Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025 Implicit Correspondence Learning for Image-to-Point Cloud Registration CVPR 2025 Implicit degree bias in the link prediction task ICML 2025 Implicit Language Models are RNNs: Balancing Parallelization and Expressivity ICML 2025 Implicit Neural Surface Deformation with Explicit Velocity Fields ICLR 2025 Implicit Subgraph Neural Network ICML 2025 Implicit vs Unfolded Graph Neural Networks JMLR 2025 Importance-Guided Interpretability and Pruning for Video Transformers in Driver Action Recognition WACV 2025 Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms ICML 2025 Improved Video VAE for Latent Video Diffusion Model CVPR 2025 Improving Accuracy of Low-resource ASR using Rule-Based Character Constituency Loss (RBCCL) COLING 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025 Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction CVPR 2025 Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages EMNLP 2025 Improving brain disorder diagnosis with advanced brain function representation and Kolmogorov-Arnold Networks MIDL 2025 Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo CoRL 2025 Improving Equivariant Networks with Probabilistic Symmetry Breaking ICLR 2025 Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention WACV 2025 Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks ICLR 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving Graph Contrastive Learning with Community Structure UAI 2025