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)

A Generic and Flexible Regularization Framework for NeRFs WACV 2024 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NeurIPS 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024 Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024 A Geometric Explanation of the Likelihood OOD Detection Paradox ICML 2024 A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NeurIPS 2024 A Geometry Loss Combination for 3D Human Pose Estimation WACV 2024 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation ICLR 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NeurIPS 2024 Agile Multi-Source-Free Domain Adaptation AAAI 2024 A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL 2024 A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding NeurIPS 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 “A good pun is its own reword”: Can Large Language Models Understand Puns? EMNLP 2024 AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024 A Graph Dynamics Prior for Relational Inference AAAI 2024 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ICLR 2024 A Grassmannian Manifold Self-Attention Network for Signal Classification IJCAI 2024 A Grounded Preference Model for LLM Alignment ACL 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation ICLR 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024