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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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)

OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 Optical Diffusion Models for Image Generation NeurIPS 2024 Optical Flow Domain Adaptation via Target Style Transfer WACV 2024 Optical Flow Guided Tongue Trajectory Generation for Diffusion-based Acoustic to Articulatory Inversion Interspeech 2024 Optimal and Approximate Adaptive Stochastic Quantization NeurIPS 2024 Optimal and efficient text counterfactuals using Graph Neural Networks EMNLP 2024 Optimal Budgeted Rejection Sampling for Generative Models AISTATS 2024 Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks ICML 2024 Optimal Eye Surgeon: Finding image priors through sparse generators at initialization ICML 2024 Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NeurIPS 2024 Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction ICML 2024 OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS ICLR 2024 Optimal score estimation via empirical Bayes smoothing COLT 2024 Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos NeurIPS 2024 Optimal Transport Aggregation for Visual Place Recognition CVPR 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism NeurIPS 2024 Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NeurIPS 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimize & Reduce: A Top-Down Approach for Image Vectorization AAAI 2024 Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs EMNLP 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024