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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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Papers (including subtopics)

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NIPS 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NIPS 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection NIPS 2024
Even Sparser Graph Transformers NIPS 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NIPS 2024
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NIPS 2024
Can Transformers Smell Like Humans? NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NIPS 2024
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond NIPS 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NIPS 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NIPS 2024
Generative Retrieval Meets Multi-Graded Relevance NIPS 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NIPS 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
Are Graph Neural Networks Optimal Approximation Algorithms? NIPS 2024
Symmetries in Overparametrized Neural Networks: A Mean Field View NIPS 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NIPS 2024
Graph Edit Distance with General Costs Using Neural Set Divergence NIPS 2024
Scalable Optimization in the Modular Norm NIPS 2024
Hybrid Mamba for Few-Shot Segmentation NIPS 2024
Efficient Large Multi-modal Models via Visual Context Compression NIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024