ListOps: A Diagnostic Dataset for Latent Tree Learning

17 April 2018

Papers citing "ListOps: A Diagnostic Dataset for Latent Tree Learning"

39 / 39 papers shown

Title
PolaFormer: Polarity-aware Linear Attention for Vision Transformers Weikang Meng Yadan Luo Xin Li D. Jiang Zheng Zhang 240 0 0 25 Jan 2025
Irrational Complex Rotations Empower Low-bit Optimizers Zhen Tian Wayne Xin Zhao Zhicheng Dou MQ 46 0 0 22 Jan 2025
Layer-Adaptive State Pruning for Deep State Space Models Minseon Gwak Seongrok Moon Joohwan Ko PooGyeon Park 30 0 0 05 Nov 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 48 0 0 11 Aug 2024
Banyan: Improved Representation Learning with Explicit Structure Mattia Opper N. Siddharth 33 1 0 25 Jul 2024
HDT: Hierarchical Document Transformer Haoyu He Markus Flicke Jan Buchmann Iryna Gurevych Andreas Geiger 43 0 0 11 Jul 2024
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences Zicheng Liu Siyuan Li Li Wang Zedong Wang Yunfan Liu Stan Z. Li 37 8 0 12 Jun 2024
LOLAMEME: Logic, Language, Memory, Mechanistic Framework Jay Desai Xiaobo Guo Srinivasan H. Sengamedu 21 0 0 31 May 2024
Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea 43 1 0 01 Feb 2024
Cached Transformers: Improving Transformers with Differentiable Memory Cache Zhaoyang Zhang Wenqi Shao Yixiao Ge Xiaogang Wang Liang Feng Ping Luo 19 2 0 20 Dec 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition Nicolas Menet Michael Hersche G. Karunaratne Luca Benini Abu Sebastian Abbas Rahimi 40 13 0 05 Dec 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 26 20 0 17 Apr 2023
Efficiency 360: Efficient Vision Transformers Badri N. Patro Vijay Srinivas Agneeswaran 33 6 0 16 Feb 2023
Ordered Memory Baselines Daniel Borisov Matthew D’Iorio Jeffrey Hyacinthe 13 0 0 08 Feb 2023
Efficient Long Sequence Modeling via State Space Augmented Transformer Simiao Zuo Xiaodong Liu Jian Jiao Denis Xavier Charles Eren Manavoglu Tuo Zhao Jianfeng Gao 127 36 0 15 Dec 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho Seonwoo Min Jinwoo Kim Moontae Lee Honglak Lee Seunghoon Hong 42 3 0 27 Oct 2022
Neural Attentive Circuits Nasim Rahaman M. Weiß Francesco Locatello C. Pal Yoshua Bengio Bernhard Schölkopf Erran L. Li Nicolas Ballas 32 6 0 14 Oct 2022
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers Nurullah Sevim Ege Ozan Özyedek Furkan Şahinuç Aykut Koç 40 11 0 26 Sep 2022
Mega: Moving Average Equipped Gated Attention Xuezhe Ma Chunting Zhou Xiang Kong Junxian He Liangke Gui Graham Neubig Jonathan May Luke Zettlemoyer 38 183 0 21 Sep 2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention Tong Yu Ruslan Khalitov Lei Cheng Zhirong Yang MoE 27 10 0 22 Apr 2022
A Call for Clarity in Beam Search: How It Works and When It Stops Jungo Kasai Keisuke Sakaguchi Ronan Le Bras Dragomir R. Radev Yejin Choi Noah A. Smith 28 6 0 11 Apr 2022
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention Yang Liu Jiaxiang Liu L. Chen Yuxiang Lu Shi Feng Zhida Feng Yu Sun Hao Tian Huancheng Wu Hai-feng Wang 31 9 0 23 Mar 2022
FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks Maksim Zubkov Daniil Gavrilov 27 0 0 23 Feb 2022
cosFormer: Rethinking Softmax in Attention Zhen Qin Weixuan Sun Huicai Deng Dongxu Li Yunshen Wei Baohong Lv Junjie Yan Lingpeng Kong Yiran Zhong 38 212 0 17 Feb 2022
Flowformer: Linearizing Transformers with Conservation Flows Haixu Wu Jialong Wu Jiehui Xu Jianmin Wang Mingsheng Long 14 90 0 13 Feb 2022
Dynamic Token Normalization Improves Vision Transformers Wenqi Shao Yixiao Ge Zhaoyang Zhang Xuyuan Xu Xiaogang Wang Ying Shan Ping Luo ViT 129 11 0 05 Dec 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 27 9 0 28 Oct 2021
SOFT: Softmax-free Transformer with Linear Complexity Jiachen Lu Jinghan Yao Junge Zhang Martin Danelljan Hang Xu Weiguo Gao Chunjing Xu Thomas B. Schon Li Zhang 18 161 0 22 Oct 2021
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization Róbert Csordás Kazuki Irie Jürgen Schmidhuber AI4CE 33 55 0 14 Oct 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 33 57 0 11 Jun 2021
Relative Positional Encoding for Transformers with Linear Complexity Antoine Liutkus Ondřej Cífka Shih-Lun Wu Umut Simsekli Yi-Hsuan Yang Gaël Richard 38 45 0 18 May 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 28 218 0 09 Mar 2021
Random Feature Attention Hao Peng Nikolaos Pappas Dani Yogatama Roy Schwartz Noah A. Smith Lingpeng Kong 36 349 0 03 Mar 2021
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 66 1,527 0 30 Sep 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 38 85 0 15 Jun 2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction Taeuk Kim Jihun Choi Daniel Edmiston Sang-goo Lee 22 90 0 30 Jan 2020
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 18 48 0 25 Feb 2019
Analyzing Compositionality-Sensitivity of NLI Models Yixin Nie Yicheng Wang Joey Tianyi Zhou CoGe 24 82 0 16 Nov 2018