conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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Papers (including subtopics)

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes NeurIPS 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NeurIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output EMNLP 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024 ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field NeurIPS 2024 ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance WACV 2024 Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens AAAI 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts NeurIPS 2024 PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation CVPR 2024 Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024 Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024 Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024 Pruning Multilingual Large Language Models for Multilingual Inference EMNLP 2024 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024 PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024 PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation CVPR 2024 Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery EMNLP 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NeurIPS 2024 PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer EMNLP 2024 pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation WACV 2024 Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach EACL 2024