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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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)

A Novel Approach for Root Selection in the Dependency Parsing COLING 2024 A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus ACL 2024 Anti-spoofing Ensembling Model: Dynamic Weight Allocation in Ensemble Models for Improved Voice Biometrics Security Interspeech 2024 Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss NeurIPS 2024 Any-dimensional equivariant neural networks AISTATS 2024 AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario NeurIPS 2024 AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling ACL 2024 A path-norm toolkit for modern networks: consequences, promises and challenges ICLR 2024 A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention NeurIPS 2024 A Planar-Symmetric SO(3) Representation for Learning Grasp Detection CoRL 2024 A Plug-and-Play Image Registration Network ICLR 2024 A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation AAAI 2024 Applying Transfer Learning to German Metaphor Prediction COLING 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Approximately Equivariant Neural Processes NeurIPS 2024 Approximately Piecewise E(3) Equivariant Point Networks ICLR 2024 Approximation Rate of the Transformer Architecture for Sequence Modeling NeurIPS 2024 A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields AAAI 2024 A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs ICML 2024 A probability contrastive learning framework for 3D molecular representation learning NeurIPS 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning NeurIPS 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts ICML 2024