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09/21/2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language ...
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08/15/2023
Forward-Backward Reasoning in Large Language Models for Verification
Chain-of-Though (CoT) prompting has shown promising performance in vario...
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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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07/12/2023
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
Despite the stunning ability to generate high-quality images by recent t...
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07/04/2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerf...
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05/18/2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...
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05/09/2023
Boosting Visual-Language Models by Exploiting Hard Samples
Large vision and language models, such as Contrastive Language-Image Pre...
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07/14/2022
Learning to Prove Trigonometric Identities
Automatic theorem proving with deep learning methods has attracted atten...
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06/07/2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms
Deep learning has achieved tremendous success with independent and ident...
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02/25/2021
SparseBERT: Rethinking the Importance Analysis in Self-attention
Transformer-based models are popular for natural language processing (NL...
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02/09/2021
DetCo: Unsupervised Contrastive Learning for Object Detection
Unsupervised contrastive learning achieves great success in learning ima...
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12/16/2020
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction
Learning sophisticated feature interactions is crucial for Click-Through...
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11/18/2020
MOFA: Modular Factorial Design for Hyperparameter Optimization
Automated hyperparameter optimization (HPO) has shown great power in man...
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07/23/2020
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
We address the curve lane detection problem which poses more realistic c...
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06/13/2020
Risk Variance Penalization: From Distributional Robustness to Causality
Learning under multi-environments often requires the ability of out-of-d...
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04/12/2018
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
Learning sophisticated feature interactions behind user behaviors is cri...
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03/13/2017
