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)

Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment ACL 2024 Textual Alchemy: CoFormer for Scene Text Understanding WACV 2024 Textual Dataset Distillation via Language Model Embedding EMNLP 2024 The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective CVPR 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Effective Horizon Explains Deep RL Performance in Stochastic Environments ICLR 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks ICML 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Expressive Capacity of State Space Models: A Formal Language Perspective NeurIPS 2024 The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 The Expressive Power of Path-Based Graph Neural Networks ICML 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Illusion of State in State-Space Models ICML 2024 The Impact of Language Adapters in Cross-Lingual Transfer for NLU EACL 2024 The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains NeurIPS 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 The Interspeech 2024 Challenge on Speech Processing Using Discrete Units Interspeech 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024 The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks NeurIPS 2024 The Merit of River Network Topology for Neural Flood Forecasting ICML 2024