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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2

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51

87

90

125

229

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453

859

1,652

3,233

5,368

6,434

7,726

8,506

9,951

12,524

14,487

6,029

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Papers (including subtopics)

Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025 Towards Robust Influence Functions with Flat Validation Minima ICML 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Towards Robust Overlapping Speech Detection: A Speaker-Aware Progressive Approach Using WavLM Interspeech 2025 Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text ACL 2025 Towards Robust Speaker Recognition against Intrinsic Variation with Foundation Model Few-shot Tuning and Effective Speech Synthesis Interspeech 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning ICLR 2025 (Towards) Scalable Reliable Automated Evaluation with Large Language Models ACL 2025 Towards Sentence Level Imagined Speech Generation from EEG signals Interspeech 2025 Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline AAAI 2025 Towards Smart Point-and-Shoot Photography CVPR 2025 Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 Towards the Law of Capacity Gap in Distilling Language Models ACL 2025 Towards Transformer-Based Aligned Generation with Self-Coherence Guidance CVPR 2025 Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models COLING 2025 Towards Unbiased Learning in Semi-Supervised Semantic Segmentation ICLR 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025 Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks ICML 2025 Towards Understanding How Knowledge Evolves in Large Vision-Language Models CVPR 2025