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)

ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing AAAI 2024 ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation NeurIPS 2024 Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024 ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition ACL 2024 CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem AAAI 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 Circumventing Concept Erasure Methods For Text-To-Image Generative Models ICLR 2024 CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph AAAI 2024 Cited Text Spans for Scientific Citation Text Generation ACL 2024 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024 CityDreamer: Compositional Generative Model of Unbounded 3D Cities CVPR 2024 CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series AAAI 2024 CKGConv: General Graph Convolution with Continuous Kernels ICML 2024 Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection COLING 2024 Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines? EMNLP 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NeurIPS 2024 CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models ACL 2024 Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification IJCAI 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NeurIPS 2024 Classification Diffusion Models: Revitalizing Density Ratio Estimation NeurIPS 2024 Classification Done Right for Vision-Language Pre-Training NeurIPS 2024