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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/laihuiyuan/Pre-trained-formality-transfer

공식 코드

Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer

https://github.com/laihuiyuan/eval-formality-transfer

공식 코드

Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer

https://github.com/laihuiyuan/generic-resources-for-tst

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Generic resources are what you need: Style transfer tasks without task-specific parallel training data

https://github.com/laihuiyuan/multilingual-tst

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Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer

https://github.com/laion-ai/scaling-laws-openclip

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Reproducible scaling laws for contrastive language-image learning

https://github.com/lancezpf/kefs

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Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection

https://github.com/lancezpf/seeds

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SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

https://github.com/lancopku/Augmented_Data_for_FST

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Parallel Data Augmentation for Formality Style Transfer

https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset

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A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

https://github.com/lancopku/Embedding-Poisoning

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Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models

https://github.com/lancopku/Graph-to-seq-comment-generation

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Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model

https://github.com/lancopku/agent-backdoor-attacks

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Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

https://github.com/land-fbk/benchmark-gen-explanations

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Benchmarking the Generation of Fact Checking Explanations

https://github.com/lanlan96/3drm

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3DRM:Pair-wise relation module for 3D object detection

https://github.com/lanlan96/arm3d

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ARM3D: Attention-based relation module for indoor 3D object detection

https://github.com/laomao0/BIN

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Blurry Video Frame Interpolation

https://github.com/laprf/hrssd

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Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline

https://github.com/laprf/smn

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Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

https://github.com/laprf/spsd

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Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images

https://github.com/lara-kassab/dynamic-tensor-topic-modeling

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Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales

https://github.com/lara-kassab/qtrk-code

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Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems

https://github.com/larahack/formalization_papers_supplemental

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Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers

https://github.com/larsOhne/pvdn

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A Dataset for Provident Vehicle Detection at Night

https://github.com/larskreuzberg/4d-stop

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4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation

https://github.com/lartpang/HDFNet

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Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

https://github.com/lartpang/MINet

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Multi-scale Interactive Network for Salient Object Detection

https://github.com/lartpang/caver

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CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

https://github.com/lartpang/comptr

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ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer

https://github.com/lartpang/ovcamo

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Open-Vocabulary Camouflaged Object Segmentation

https://github.com/lartpang/zoomnet

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Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection

https://github.com/lartpang/zoomnext

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ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection

https://github.com/lasigeBioTM/BiQA

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Generating Biomedical Question Answering Corpora from Q&A forums

https://github.com/laughtervv/SGPN

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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

https://github.com/lauhaide/clads

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Models and Datasets for Cross-Lingual Summarisation

https://github.com/launchnlp/moka

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MOKA: Moral Knowledge Augmentation for Moral Event Extraction

https://github.com/launchnlp/partisan-event-dataset

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Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.